JOB DESCRIPTION Help shape how intelligent systems are built and delivered at the company. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US the company, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
27/07/2026
Full time
JOB DESCRIPTION Help shape how intelligent systems are built and delivered at the company. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US the company, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
JPMorgan Chase & Co. is seeking a Software Engineer III to help design and build scalable microservices for a next gen core banking platform. You will work on cloud-native solutions, contribute to CI/CD pipelines, and support production deployments in a secure, resilient environment. The role involves secondment to a FinTech partner initially, gaining exposure to fintech operations while backed by JPMorgan Chase.
27/07/2026
Full time
JPMorgan Chase & Co. is seeking a Software Engineer III to help design and build scalable microservices for a next gen core banking platform. You will work on cloud-native solutions, contribute to CI/CD pipelines, and support production deployments in a secure, resilient environment. The role involves secondment to a FinTech partner initially, gaining exposure to fintech operations while backed by JPMorgan Chase.
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver cutting-edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next-generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market-leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well-structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services Experience with modern testing tools (JUnit, Mockito, Spring Test Framework) Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders Understanding of the full software development lifecycle and agile approach Hands-on experience with event driven architecture and distributed messaging technologies (Kafka) Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++ Experience with gRPC and Google Protocol Buffers Experience with caching technologies, e.g. Redis Experience with infrastructure as code software, e.g. Terraform Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB) Familiarity with front-end technologies, like ReactJs Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design and deliver market leading products in a secure and scalable way as a seasoned member of an agile team
26/07/2026
Full time
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver cutting-edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next-generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market-leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well-structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services Experience with modern testing tools (JUnit, Mockito, Spring Test Framework) Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders Understanding of the full software development lifecycle and agile approach Hands-on experience with event driven architecture and distributed messaging technologies (Kafka) Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++ Experience with gRPC and Google Protocol Buffers Experience with caching technologies, e.g. Redis Experience with infrastructure as code software, e.g. Terraform Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB) Familiarity with front-end technologies, like ReactJs Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design and deliver market leading products in a secure and scalable way as a seasoned member of an agile team
JPMorgan Chase is seeking a Software Engineer III to join the Liquidity and Account Solutions Technology team. You will design, develop and support high-performance, latency-sensitive Java services for real-time liquidity operations and a scalable core wholesale banking platform. You will collaborate with global engineers, participate in design sessions, and help drive modernization while maintaining robust security and quality.
26/07/2026
Full time
JPMorgan Chase is seeking a Software Engineer III to join the Liquidity and Account Solutions Technology team. You will design, develop and support high-performance, latency-sensitive Java services for real-time liquidity operations and a scalable core wholesale banking platform. You will collaborate with global engineers, participate in design sessions, and help drive modernization while maintaining robust security and quality.
About Us Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. Our Opportunity At Automation Anywhere, we are looking for a business-fluent, technically credible industry specialist to join our EMEA Industry Catalyst & Solution Engineering team. As Principal Solution Architect - Industry Specialist, you will operate at the intersection of deep BFSI expertise and enterprise-grade technical credibility, engaging C-suite and senior business leaders to translate agentic AI and intelligent automation capabilities into compelling, industry-specific business transformation narratives. This is a newly created hybrid role, bridging Solution Engineering and Industry Catalyst. Unlike a pure Catalyst role you carry direct deal accountability; unlike a standard SE role you operate at the business transformation layer. You will be the named BFSI & Finance Operations expert on major EMEA pursuits, owning vertical content, qualifying industry opportunities, and serving as a trusted advisor to both customers and the broader SE team. Location: United Kingdom (London) Who You'll Report To VP, Industry Catalyst & Solution Engineering - EMEA You Will Make an Impact By Being Responsible For Industry Sales Execution (60%) Lead industry-specific pre-sales motions on strategic EMEA accounts, partnering with Account Executives from qualification through commercial close. Own the business case, ROI model, and industry narrative for Banking, Financial Services, Insurance, and Finance Operations opportunities across EMEA and the Middle East. Design and deliver executive-level discovery workshops, translating business pain into agentic AI and intelligent automation solution roadmaps. Serve as the named BFSI industry expert on RFPs, RFIs, and strategic pursuits; lead responses to procurement and technical evaluation processes. Engage Global System Integrators on joint solution design for major BFSI accounts. Technical Architecture (25%) Shape high-level solution architectures covering APA, Agentic Process Automation, IDP, and Co-Pilot modalities for BFSI use cases including KYC, AML, financial close, AP/AR automation, and claims processing. Guide POC scoping and success criteria definition; support the SE team during technical validation phases on vertically relevant opportunities. Maintain working knowledge of APA platform internals, integration patterns (SAP, Salesforce, ServiceNow), and cloud deployment models. Bridge technical depth of the SE team to the strategic perspective of the Catalyst team, amplifying both. Industry Content & Enablement (15%) / Thought Leadership & Eminence Build and maintain BFSI and Finance Operations vertical playbooks covering use case libraries, competitive positioning, and objection handling. Deliver internal enablement sessions to upskill the EMEA SE team on industry dynamics, regulatory landscape, and BFSI buyer language. Contribute to EMEA Industry Pack development alongside Industry Catalyst colleagues; represent Automation Anywhere at relevant industry events and analyst briefings. Publish point-of-view content on agentic AI and intelligent automation trends in BFSI and Finance Operations via LinkedIn and internal platforms. Develop executive briefing materials and CXO conversation frameworks for use by the broader EMEA SE team. Build and maintain a network of industry practitioners, GSI contacts, and ecosystem partners in the BFSI vertical. You Will Be a Great Fit If You Have 10+ years of experience in BFSI, Insurance, or Finance Operations, combining a practitioner phase (banking, financial analysis, insurance operations, or FinTech) with a consulting or technology sales phase. Deep industry knowledge across Banking & Capital Markets, Financial Services, and/or Insurance - you speak the buyer's language as a practitioner, not just from a slide deck. Demonstrable ability to lead enterprise architecture conversations, whiteboard solution designs, and scope POCs involving RPA, AI Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow). Working knowledge of agentic process automation concepts - agent orchestration, human-in-the-loop workflows, document intelligence, and co-pilot patterns. Experience with Automation Anywhere, UiPath, or ServiceNow a strong asset. Proven track record of operating at CXO and SVP level - conducting discovery, presenting business cases, and influencing procurement decisions in complex, multi-stakeholder enterprise sales cycles. Strong commercial acumen: ability to build ROI models, frame value propositions in CFO language, and navigate complex buying committees. Experience with deal values of £250K-£2M ARR preferred. Exceptional written and verbal communication skills; comfortable independently creating polished industry narratives, executive decks, and ROI models - not a slide assembly role. Bachelor's degree in Business, Finance, Technology, or a related field. Advanced degree or professional certifications (CFA, FRM, ACCA, MBA) a strong plus. Preferred Qualifications Prior experience in a pre-sales, solution consulting, or industry advisory role at an enterprise software or consulting firm (Big 4, Tier 1 SI, or SaaS vendor). Hands-on experience with Automation Anywhere A360 / APA, or a directly comparable intelligent automation platform. Familiarity with BFSI regulatory frameworks (Basel III/IV, Solvency II, GDPR, DORA, PSD2) and their operational automation implications. Experience building or contributing to industry vertical content libraries, competitive battle cards, or GTM playbooks. Active LinkedIn presence and existing network in the BFSI community; history of industry event speaking, publication, or analyst engagement. Ready to Revolutionize Work? This is an opportunity to work with a global, passionate team pioneering technology that's redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great. Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
26/07/2026
Full time
About Us Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. Our Opportunity At Automation Anywhere, we are looking for a business-fluent, technically credible industry specialist to join our EMEA Industry Catalyst & Solution Engineering team. As Principal Solution Architect - Industry Specialist, you will operate at the intersection of deep BFSI expertise and enterprise-grade technical credibility, engaging C-suite and senior business leaders to translate agentic AI and intelligent automation capabilities into compelling, industry-specific business transformation narratives. This is a newly created hybrid role, bridging Solution Engineering and Industry Catalyst. Unlike a pure Catalyst role you carry direct deal accountability; unlike a standard SE role you operate at the business transformation layer. You will be the named BFSI & Finance Operations expert on major EMEA pursuits, owning vertical content, qualifying industry opportunities, and serving as a trusted advisor to both customers and the broader SE team. Location: United Kingdom (London) Who You'll Report To VP, Industry Catalyst & Solution Engineering - EMEA You Will Make an Impact By Being Responsible For Industry Sales Execution (60%) Lead industry-specific pre-sales motions on strategic EMEA accounts, partnering with Account Executives from qualification through commercial close. Own the business case, ROI model, and industry narrative for Banking, Financial Services, Insurance, and Finance Operations opportunities across EMEA and the Middle East. Design and deliver executive-level discovery workshops, translating business pain into agentic AI and intelligent automation solution roadmaps. Serve as the named BFSI industry expert on RFPs, RFIs, and strategic pursuits; lead responses to procurement and technical evaluation processes. Engage Global System Integrators on joint solution design for major BFSI accounts. Technical Architecture (25%) Shape high-level solution architectures covering APA, Agentic Process Automation, IDP, and Co-Pilot modalities for BFSI use cases including KYC, AML, financial close, AP/AR automation, and claims processing. Guide POC scoping and success criteria definition; support the SE team during technical validation phases on vertically relevant opportunities. Maintain working knowledge of APA platform internals, integration patterns (SAP, Salesforce, ServiceNow), and cloud deployment models. Bridge technical depth of the SE team to the strategic perspective of the Catalyst team, amplifying both. Industry Content & Enablement (15%) / Thought Leadership & Eminence Build and maintain BFSI and Finance Operations vertical playbooks covering use case libraries, competitive positioning, and objection handling. Deliver internal enablement sessions to upskill the EMEA SE team on industry dynamics, regulatory landscape, and BFSI buyer language. Contribute to EMEA Industry Pack development alongside Industry Catalyst colleagues; represent Automation Anywhere at relevant industry events and analyst briefings. Publish point-of-view content on agentic AI and intelligent automation trends in BFSI and Finance Operations via LinkedIn and internal platforms. Develop executive briefing materials and CXO conversation frameworks for use by the broader EMEA SE team. Build and maintain a network of industry practitioners, GSI contacts, and ecosystem partners in the BFSI vertical. You Will Be a Great Fit If You Have 10+ years of experience in BFSI, Insurance, or Finance Operations, combining a practitioner phase (banking, financial analysis, insurance operations, or FinTech) with a consulting or technology sales phase. Deep industry knowledge across Banking & Capital Markets, Financial Services, and/or Insurance - you speak the buyer's language as a practitioner, not just from a slide deck. Demonstrable ability to lead enterprise architecture conversations, whiteboard solution designs, and scope POCs involving RPA, AI Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow). Working knowledge of agentic process automation concepts - agent orchestration, human-in-the-loop workflows, document intelligence, and co-pilot patterns. Experience with Automation Anywhere, UiPath, or ServiceNow a strong asset. Proven track record of operating at CXO and SVP level - conducting discovery, presenting business cases, and influencing procurement decisions in complex, multi-stakeholder enterprise sales cycles. Strong commercial acumen: ability to build ROI models, frame value propositions in CFO language, and navigate complex buying committees. Experience with deal values of £250K-£2M ARR preferred. Exceptional written and verbal communication skills; comfortable independently creating polished industry narratives, executive decks, and ROI models - not a slide assembly role. Bachelor's degree in Business, Finance, Technology, or a related field. Advanced degree or professional certifications (CFA, FRM, ACCA, MBA) a strong plus. Preferred Qualifications Prior experience in a pre-sales, solution consulting, or industry advisory role at an enterprise software or consulting firm (Big 4, Tier 1 SI, or SaaS vendor). Hands-on experience with Automation Anywhere A360 / APA, or a directly comparable intelligent automation platform. Familiarity with BFSI regulatory frameworks (Basel III/IV, Solvency II, GDPR, DORA, PSD2) and their operational automation implications. Experience building or contributing to industry vertical content libraries, competitive battle cards, or GTM playbooks. Active LinkedIn presence and existing network in the BFSI community; history of industry event speaking, publication, or analyst engagement. Ready to Revolutionize Work? This is an opportunity to work with a global, passionate team pioneering technology that's redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great. Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
Be an integral part of a team that constantly pushes the envelope to enhance, build, and deliver cutting edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks. Experience in building high-performance, latency-sensitive Java applications. Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services. Experience with modern testing tools (JUnit, Mockito, Spring Test Framework). Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders. Understanding of the full software development lifecycle and agile approach. Hands on experience with event driven architecture and distributed messaging technologies (Kafka). Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++. Experience with gRPC and Google Protocol Buffers. Experience with caching technologies, e.g. Redis. Experience with infrastructure as code software, e.g. Terraform. Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB). Familiarity with front-end technologies like ReactJs. Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications). We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
26/07/2026
Full time
Be an integral part of a team that constantly pushes the envelope to enhance, build, and deliver cutting edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks. Experience in building high-performance, latency-sensitive Java applications. Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services. Experience with modern testing tools (JUnit, Mockito, Spring Test Framework). Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders. Understanding of the full software development lifecycle and agile approach. Hands on experience with event driven architecture and distributed messaging technologies (Kafka). Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++. Experience with gRPC and Google Protocol Buffers. Experience with caching technologies, e.g. Redis. Experience with infrastructure as code software, e.g. Terraform. Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB). Familiarity with front-end technologies like ReactJs. Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications). We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Software Engineer III (Python & C#)Applylocations: Farringdon: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R113121 Software Engineer III (Python & C#) Excited to architect, build, and elevate complex systems? Do you thrive in solving challenging problems with Python and C#, while driving engineering excellence across teams? About the team: LexisNexis Intellectual Property, with 11,300 employees worldwide and serving customers in more than 150 countries, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the role: This position performs moderately difficult research, design, and software development assignments within the LNIP intelligence core platform. Software Engineer III works independently on individual pieces of work and solves moderately complex technical problems, including designing program flow, implementing effective code, performing unit testing, resolving defects, and contributing to system component design and specifications. Key Responsibilities: Create specifications for and develop and maintain a semantic search API. Successfully implement development processes, coding best practices, secure coding standards, unit testing, code coverage expectations, and code reviews. Maintain an internal data curation tool. Use agentic development tools responsibly to accelerate development while maintaining code quality, security, correctness, and maintainability. Requirements: Proficiency in development languages, including but not limited to: Python, C#, .NET, JavaScript, TypeScript, React, and Angular. Proficiency in at least one agentic development tool, including but not limited to: GitHub Copilot, OpenAI Codex, Claude Code, Cursor, or Coder. Familiarity with industry best practices, including agentic code development, secure coding practices, security scans, versioning, unit testing, test-driven development, measuring code coverage, code reviews, and cloud deployment. Proficiency with data manipulation languages, understanding of data modelling principles, and ability to work with complex data models. Knowledge of software development methodologies, including Agile and Waterfall. Knowledge of data query and manipulation languages, including SQL and PySpark. Knowledge of data storage subsystems. Knowledge of vector embeddings of text and their application in intelligent software systems. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business - At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
25/07/2026
Full time
Software Engineer III (Python & C#)Applylocations: Farringdon: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R113121 Software Engineer III (Python & C#) Excited to architect, build, and elevate complex systems? Do you thrive in solving challenging problems with Python and C#, while driving engineering excellence across teams? About the team: LexisNexis Intellectual Property, with 11,300 employees worldwide and serving customers in more than 150 countries, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the role: This position performs moderately difficult research, design, and software development assignments within the LNIP intelligence core platform. Software Engineer III works independently on individual pieces of work and solves moderately complex technical problems, including designing program flow, implementing effective code, performing unit testing, resolving defects, and contributing to system component design and specifications. Key Responsibilities: Create specifications for and develop and maintain a semantic search API. Successfully implement development processes, coding best practices, secure coding standards, unit testing, code coverage expectations, and code reviews. Maintain an internal data curation tool. Use agentic development tools responsibly to accelerate development while maintaining code quality, security, correctness, and maintainability. Requirements: Proficiency in development languages, including but not limited to: Python, C#, .NET, JavaScript, TypeScript, React, and Angular. Proficiency in at least one agentic development tool, including but not limited to: GitHub Copilot, OpenAI Codex, Claude Code, Cursor, or Coder. Familiarity with industry best practices, including agentic code development, secure coding practices, security scans, versioning, unit testing, test-driven development, measuring code coverage, code reviews, and cloud deployment. Proficiency with data manipulation languages, understanding of data modelling principles, and ability to work with complex data models. Knowledge of software development methodologies, including Agile and Waterfall. Knowledge of data query and manipulation languages, including SQL and PySpark. Knowledge of data storage subsystems. Knowledge of vector embeddings of text and their application in intelligent software systems. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business - At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance â pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job Responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals â tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI assisted development and automation capabilities, to improve the value realized by automation. Add to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. Hands on experience using enterprise-authorized AI assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Preferred Qualifications, Capabilities, and Skills Experience with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service to service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on call rotations, incident reviews. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
24/07/2026
Full time
Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance â pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job Responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals â tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI assisted development and automation capabilities, to improve the value realized by automation. Add to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. Hands on experience using enterprise-authorized AI assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Preferred Qualifications, Capabilities, and Skills Experience with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service to service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on call rotations, incident reviews. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at the company within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance - pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals - tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Add to team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities, and skills Experience with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service-to-service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high-throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on-call rotations, incident reviews. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
24/07/2026
Full time
JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at the company within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance - pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals - tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Add to team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities, and skills Experience with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service-to-service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high-throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on-call rotations, incident reviews. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Software Engineer IIIApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R115044 Do you enjoy building and improving API platforms that support a wide range of users and applications? Would you like to collaborate with a team to design, develop, and enhance scalable solutions that deliver a great developer experience? About our Team We are the API Management Platform team that looks after API gateways for Elsevier. Our team looks after the authentication, authorization, throttling, quota management of resources such as APIs, and MCP server/tools. We also offer analytical dashboards to our customers to track usage of these resources on the Platform. Our developer portal allows our customer to dynamically create credentials to the APIs of their choice. About the Role As a Software Engineer III, you will design, build, and support API platforms that serve both legacy and modern enterprise systems. You will work closely with team members to deliver high-quality, test-driven solutions and improve the developer experience for internal and external users. This role focuses on delivering reliable platforms, enabling smooth onboarding, and resolving technical challenges efficiently. Responsibilities Work with team members ideate on best technical solution to meet Product Requirements and translate them into software designs Document and review portions of detailed specifications for the development of complex system components. Complete bug fixes. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Share your knowledge and be able to present your ideas confidently. Requirements Expertise in development languages including but not limited to: Java, JavaScript, Groovy, JSP, HTML, XML, SQL and bash. Knowledge and experience of build tools - Maven and Gradle Knowledge and experience of relational DBMS - Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge of using New Relic, Kibana for observing metrics and configuring alerts. Knowledge of using Docker, containers, helm, kustomize to set up and manage Kubernetes applications. Knowledge of using kubectl, k9s and similar tools to observe and manage k8s resources. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
24/07/2026
Full time
Software Engineer IIIApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R115044 Do you enjoy building and improving API platforms that support a wide range of users and applications? Would you like to collaborate with a team to design, develop, and enhance scalable solutions that deliver a great developer experience? About our Team We are the API Management Platform team that looks after API gateways for Elsevier. Our team looks after the authentication, authorization, throttling, quota management of resources such as APIs, and MCP server/tools. We also offer analytical dashboards to our customers to track usage of these resources on the Platform. Our developer portal allows our customer to dynamically create credentials to the APIs of their choice. About the Role As a Software Engineer III, you will design, build, and support API platforms that serve both legacy and modern enterprise systems. You will work closely with team members to deliver high-quality, test-driven solutions and improve the developer experience for internal and external users. This role focuses on delivering reliable platforms, enabling smooth onboarding, and resolving technical challenges efficiently. Responsibilities Work with team members ideate on best technical solution to meet Product Requirements and translate them into software designs Document and review portions of detailed specifications for the development of complex system components. Complete bug fixes. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Share your knowledge and be able to present your ideas confidently. Requirements Expertise in development languages including but not limited to: Java, JavaScript, Groovy, JSP, HTML, XML, SQL and bash. Knowledge and experience of build tools - Maven and Gradle Knowledge and experience of relational DBMS - Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge of using New Relic, Kibana for observing metrics and configuring alerts. Knowledge of using Docker, containers, helm, kustomize to set up and manage Kubernetes applications. Knowledge of using kubectl, k9s and similar tools to observe and manage k8s resources. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top notch technology products. As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro services, integrations, dashboards, production support tools and CI/CD pipelines. Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP's worldwide journey to the cloud. Job Responsibilities Design, implement and develop scalable, performant microservices using software engineering best practices. Writes secure and high quality code. Writes automated unit tests, integration tests, etc. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture. Manage and troubleshoot deployments from testing environments all the way to production. Interface with other engineering teams to ensure that features are added in a structured and coherent way. Translate generic product requirements into trackable tickets. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience. Hands on practical experience in system design, application development, testing, and operational stability. Proficient in at least one major programming language: Go, Python and/or Java. Experience with Kubernetes and Terraform. Experience in developing automated tests as an integral part of the development cycle. Overall knowledge of the Software Development Life Cycle. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience with any cloud provider. Preferred qualifications, capabilities and skills Knowledge of banking / finance. Certification in AWS, Kubernetes (CKE) and Terraform. Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with streaming architectures and tools (e.g. Kafka). We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
14/07/2026
Full time
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top notch technology products. As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro services, integrations, dashboards, production support tools and CI/CD pipelines. Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP's worldwide journey to the cloud. Job Responsibilities Design, implement and develop scalable, performant microservices using software engineering best practices. Writes secure and high quality code. Writes automated unit tests, integration tests, etc. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture. Manage and troubleshoot deployments from testing environments all the way to production. Interface with other engineering teams to ensure that features are added in a structured and coherent way. Translate generic product requirements into trackable tickets. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience. Hands on practical experience in system design, application development, testing, and operational stability. Proficient in at least one major programming language: Go, Python and/or Java. Experience with Kubernetes and Terraform. Experience in developing automated tests as an integral part of the development cycle. Overall knowledge of the Software Development Life Cycle. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience with any cloud provider. Preferred qualifications, capabilities and skills Knowledge of banking / finance. Certification in AWS, Kubernetes (CKE) and Terraform. Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with streaming architectures and tools (e.g. Kafka). We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase in the United Kingdom seeks a Software Engineer III for the Global Banking Platform (GBP). You will join a team delivering secure, scalable core banking software through microservices, dashboards, and production tooling, with secondees to a fintech partner before returning to GBP to advance the cloud journey. The role emphasizes design, implementation, testing, deployment, and cross-team collaboration, with strong focus on security, resiliency, and modern SDLC practices in a
14/07/2026
Full time
JPMorgan Chase in the United Kingdom seeks a Software Engineer III for the Global Banking Platform (GBP). You will join a team delivering secure, scalable core banking software through microservices, dashboards, and production tooling, with secondees to a fintech partner before returning to GBP to advance the cloud journey. The role emphasizes design, implementation, testing, deployment, and cross-team collaboration, with strong focus on security, resiliency, and modern SDLC practices in a
About the Role As a Python Developer within the Wholesale Credit Quantitative Research Core team, you will play a central role in building and maintaining Nova - the firm's strategic platform for Loan Loss Forecasting models. Nova is built within JPMorgan's Athena platform and underpins critical regulatory and business processes including CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite forecasting. You will be responsible for designing and implementing the core frameworks and libraries that model developers rely on to build, test, and deploy forecasting models at scale. This is a hands on engineering role that demands strong software craftsmanship, quantitative aptitude, and the ability to translate partially defined business needs into robust, production quality systems. You will work closely with quantitative researchers, model governance, technology partners, and wholesale credit business stakeholders. Job Responsibilities Design, build, and maintain the core Python frameworks and libraries that power Nova, ensuring they are performant, extensible, and easy for model developers to integrate with Develop and enhance the calculation engine and related tooling for loan loss forecasting models, supporting CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite requirements Implement high performance numerical algorithms using Python scientific computing libraries including NumPy, Pandas, and DuckDB Champion test driven development practices across the team, building and maintaining comprehensive unit, integration, and regression test suites to ensure framework reliability Take partially specified problems and business needs from stakeholders and translate them into concrete technical requirements, designs, and implementation plans Leverage LLM based coding tools (e.g., GitHub Copilot, Claude) to accelerate development velocity, drive code quality, and maximize team productivity Perform peer code reviews with a focus on correctness, performance, maintainability, and adherence to team standards Prepare clear and thorough technical documentation covering design decisions, implementation details, and testing strategies Partner with model developers, product and business stakeholders during the implementation, testing, and operationalization of forecasting processes Present regular updates on development progress, technical decisions, and platform roadmap to senior management and cross functional stakeholders Investigate and debug counter intuitive observations in model forecasts, performing root cause analysis at the framework and data level Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline Minimum 5 years of experience in quantitative software development within a financial services environment (e.g., banking, asset management, hedge fund, fintech) Advanced proficiency in Python with deep experience in object oriented design, design patterns, and building production grade frameworks and libraries Strong working knowledge of NumPy and Pandas for numerical computing and data manipulation Demonstrated experience with test driven development and building systems with rigorous unit, integration, and regression test coverage (e.g., pytest, unittest) Strong analytical, quantitative, and problem solving skills with the ability to reason about complex model behavior and data flows Excellent written and verbal communication skills, with the confidence to present technical concepts to both technical and non technical audiences Proven ability to operate as a self starter: taking ambiguous or partially specified problems and driving them through to well defined technical solutions Proficiency with LLM based coding tools and a track record of leveraging AI assistants to meaningfully increase development productivity and code quality Preferred Qualifications, Capabilities, and Skills Experience with DuckDB or similar in process analytical databases for high performance data querying and transformation Knowledge of credit risk concepts including Wholesale Credit, CCAR/DFAST stress testing, CECL/IFRS 9 allowance, and Basel III regulatory capital Experience working with or building upon large scale analytics platforms (e.g., JPMorgan Athena or comparable quantitative computing environments) Familiarity with distributed computing frameworks and techniques for scaling numerical workloads Knowledge of statistical modeling, Monte Carlo simulation, and time series forecasting methodologies Ability to work effectively with large datasets and practical knowledge of SQL and database systems Proven ability to build collaborative relationships with cross functional partners including model developers, business stakeholders, and technology teams Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
14/07/2026
Full time
About the Role As a Python Developer within the Wholesale Credit Quantitative Research Core team, you will play a central role in building and maintaining Nova - the firm's strategic platform for Loan Loss Forecasting models. Nova is built within JPMorgan's Athena platform and underpins critical regulatory and business processes including CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite forecasting. You will be responsible for designing and implementing the core frameworks and libraries that model developers rely on to build, test, and deploy forecasting models at scale. This is a hands on engineering role that demands strong software craftsmanship, quantitative aptitude, and the ability to translate partially defined business needs into robust, production quality systems. You will work closely with quantitative researchers, model governance, technology partners, and wholesale credit business stakeholders. Job Responsibilities Design, build, and maintain the core Python frameworks and libraries that power Nova, ensuring they are performant, extensible, and easy for model developers to integrate with Develop and enhance the calculation engine and related tooling for loan loss forecasting models, supporting CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite requirements Implement high performance numerical algorithms using Python scientific computing libraries including NumPy, Pandas, and DuckDB Champion test driven development practices across the team, building and maintaining comprehensive unit, integration, and regression test suites to ensure framework reliability Take partially specified problems and business needs from stakeholders and translate them into concrete technical requirements, designs, and implementation plans Leverage LLM based coding tools (e.g., GitHub Copilot, Claude) to accelerate development velocity, drive code quality, and maximize team productivity Perform peer code reviews with a focus on correctness, performance, maintainability, and adherence to team standards Prepare clear and thorough technical documentation covering design decisions, implementation details, and testing strategies Partner with model developers, product and business stakeholders during the implementation, testing, and operationalization of forecasting processes Present regular updates on development progress, technical decisions, and platform roadmap to senior management and cross functional stakeholders Investigate and debug counter intuitive observations in model forecasts, performing root cause analysis at the framework and data level Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline Minimum 5 years of experience in quantitative software development within a financial services environment (e.g., banking, asset management, hedge fund, fintech) Advanced proficiency in Python with deep experience in object oriented design, design patterns, and building production grade frameworks and libraries Strong working knowledge of NumPy and Pandas for numerical computing and data manipulation Demonstrated experience with test driven development and building systems with rigorous unit, integration, and regression test coverage (e.g., pytest, unittest) Strong analytical, quantitative, and problem solving skills with the ability to reason about complex model behavior and data flows Excellent written and verbal communication skills, with the confidence to present technical concepts to both technical and non technical audiences Proven ability to operate as a self starter: taking ambiguous or partially specified problems and driving them through to well defined technical solutions Proficiency with LLM based coding tools and a track record of leveraging AI assistants to meaningfully increase development productivity and code quality Preferred Qualifications, Capabilities, and Skills Experience with DuckDB or similar in process analytical databases for high performance data querying and transformation Knowledge of credit risk concepts including Wholesale Credit, CCAR/DFAST stress testing, CECL/IFRS 9 allowance, and Basel III regulatory capital Experience working with or building upon large scale analytics platforms (e.g., JPMorgan Athena or comparable quantitative computing environments) Familiarity with distributed computing frameworks and techniques for scaling numerical workloads Knowledge of statistical modeling, Monte Carlo simulation, and time series forecasting methodologies Ability to work effectively with large datasets and practical knowledge of SQL and database systems Proven ability to build collaborative relationships with cross functional partners including model developers, business stakeholders, and technology teams Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
Job Description: Job Title: Software Engineer III Corporate Title: Vice President Location: Bromley Location Overview: Join our bustling Bromley office, situated in one of London's greenest boroughs. Here you'll find plentiful and easy commuting routes, with central London just 15 minutes away by train. Role Description: The Electronic Trading Technology (ETT) team supports the Electronic Trading business in the Global Markets and Investment Banking Group. The team provides innovative solutions for low touch, low latency trading, which includes FIX connectivity, low latency market connectivity, smart order routing, algorithmic trading and internal crossing. The ETT team is a global team with a presence in every region (AMRS, EMEA and APAC). We aim to maintain a global perspective while recognizing and responding to specific regional requirements that make each market unique. The EMEA Electronic Trading Technology (ETT) team is a vibrant team of experienced developers, business analysts and QA experts working very closely with the business group. The team supports an existing fully featured Electronic Trading product set and is also actively rolling out the next generation Electronic Trading platform. The next generation program is a sizeable investment in ensuring that the business is ready for handling higher volumes of market data and customer flow efficiently. Responsibilities Delivery of key functional changes to the ETT strategy engines Delivery of core framework-level changes Interaction with quantitative trading group / quantitative traders to capture core requirements. Being involved with all aspects of the development lifecycle (gathering requirements, developing code, writing unit tests, reviewing patches, performing 2nd level support) What we are looking for Excellent communication skills In depth understanding of core Java API's (collections, concurrency, NIO) Understand and have experience with multithreaded systems, working knowledge of the Java garbage collector, familiar with low latency I/O. Understanding of and experience with design patterns (Observer, Factory, Singleton) Development practices you will be able to use test driven development and be familiar with UML and OO design. Should have experience with Eclipse or IntelliJ, GIT, continuous build servers and Maven / Gradle. Be able to work with and help more junior members as well as take technical direction from the team lead. Can demonstrate ability to work in a multi-faceted role (development with some testing, support and analysis.) Skills that will help Understanding of benchmark algo and/or smart routing strategies (VWAP, TWAP, Arrival Price) Experience working with agile methodologies. Demonstrable experience of front office system design and architecture (algo trading plant and topology) Business Knowledge - Understanding of equities and/or derivatives markets. Knowledge of FIX (heartbeating, login, sequence numbers, message types) Benefits of working at Bank of America UK Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness etc. Access to an emotional wellbeing helpline, mental health first aiders and virtual GP services. Access to an Employee Assistance Program for confidential support and help for everyday matters Ability to donate to charities of your choice directly through payroll and the bank will match your contribution Opportunity to access our Arts & Culture corporate membership program and receive discounted entry to some of the UK's most iconic cultural institutions and exhibitions. Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community. Equal Opportunity Employment We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience. We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.
13/07/2026
Full time
Job Description: Job Title: Software Engineer III Corporate Title: Vice President Location: Bromley Location Overview: Join our bustling Bromley office, situated in one of London's greenest boroughs. Here you'll find plentiful and easy commuting routes, with central London just 15 minutes away by train. Role Description: The Electronic Trading Technology (ETT) team supports the Electronic Trading business in the Global Markets and Investment Banking Group. The team provides innovative solutions for low touch, low latency trading, which includes FIX connectivity, low latency market connectivity, smart order routing, algorithmic trading and internal crossing. The ETT team is a global team with a presence in every region (AMRS, EMEA and APAC). We aim to maintain a global perspective while recognizing and responding to specific regional requirements that make each market unique. The EMEA Electronic Trading Technology (ETT) team is a vibrant team of experienced developers, business analysts and QA experts working very closely with the business group. The team supports an existing fully featured Electronic Trading product set and is also actively rolling out the next generation Electronic Trading platform. The next generation program is a sizeable investment in ensuring that the business is ready for handling higher volumes of market data and customer flow efficiently. Responsibilities Delivery of key functional changes to the ETT strategy engines Delivery of core framework-level changes Interaction with quantitative trading group / quantitative traders to capture core requirements. Being involved with all aspects of the development lifecycle (gathering requirements, developing code, writing unit tests, reviewing patches, performing 2nd level support) What we are looking for Excellent communication skills In depth understanding of core Java API's (collections, concurrency, NIO) Understand and have experience with multithreaded systems, working knowledge of the Java garbage collector, familiar with low latency I/O. Understanding of and experience with design patterns (Observer, Factory, Singleton) Development practices you will be able to use test driven development and be familiar with UML and OO design. Should have experience with Eclipse or IntelliJ, GIT, continuous build servers and Maven / Gradle. Be able to work with and help more junior members as well as take technical direction from the team lead. Can demonstrate ability to work in a multi-faceted role (development with some testing, support and analysis.) Skills that will help Understanding of benchmark algo and/or smart routing strategies (VWAP, TWAP, Arrival Price) Experience working with agile methodologies. Demonstrable experience of front office system design and architecture (algo trading plant and topology) Business Knowledge - Understanding of equities and/or derivatives markets. Knowledge of FIX (heartbeating, login, sequence numbers, message types) Benefits of working at Bank of America UK Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness etc. Access to an emotional wellbeing helpline, mental health first aiders and virtual GP services. Access to an Employee Assistance Program for confidential support and help for everyday matters Ability to donate to charities of your choice directly through payroll and the bank will match your contribution Opportunity to access our Arts & Culture corporate membership program and receive discounted entry to some of the UK's most iconic cultural institutions and exhibitions. Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community. Equal Opportunity Employment We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience. We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.
