JPMorgan Chase & Co.

At JPMorgan Chase & Co., as an Associate Software Engineer III, you will focus on creating user interfaces that solve real-world problems within the Platform Experience team. A collaborative mindset and proficiency in JavaScript and React are essential for this role. You will execute software solutions, optimize application performance, and work closely with designers to ensure their vision is technically feasible. Your contributions will have a significant impact on our customers and on the company's success.

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join their team in London. You will be responsible for delivering cloud-native microservices architecture applications while collaborating with cross-functional teams. This role offers the chance to innovate and drive efficiencies in a dynamic environment. The ideal candidate will have strong JavaScript and TypeScript skills, along with experience in Agile development. Familiarity with React and mobile application development on iOS/Android is preferred. This position will empower you to make a real impact.

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK - but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. Lead Software Engineer - Front-End Engineer at JPMorgan Chase within the International Consumer Bank. You will be part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Job responsibilities Collaborate with cross-functional teams to define, design, and ship new features. Create and maintain clean, efficient, and reusable codebase. Conduct thorough testing to ensure robustness and reliability of applications. Troubleshoot and debug issues, ensuring smooth application functionality. Communicate effectively with stakeholders to gather requirements and provide progress updates. Mentor junior developers, providing guidance on best practices and code reviews. Stay updated with the latest industry trends and best practices in mobile development. Drive continuous improvement initiatives to enhance development processes and workflows. Required qualifications, capabilities and skills Formal training or certification on JavaScript concepts and proficient advanced experience. Strong knowledge of JavaScript, TypeScript, and ES6+ syntax. Ability to write testable, clean JavaScript code. Familiarity with writing unit tests. Ability to work in a dynamic, agile environment within a geographically distributed team. Ability to focus on promptly addressing customer needs. Excellent written and verbal communication skills in English. Preferred qualifications, capabilities and skills Proficiency in React framework & Building applications using React Native in TypeScript or JavaScript. Native application development across Android / iOS in Kotlin/Swift. Understanding of REST APIs and GraphQL. Comfortable working with projects partially or fully using TypeScript. End-to-end testing applications with Detox / Appium / WebdriverIO / Playwright. Extensive experience in modern web development, including responsive design and performance optimization. Hands-on experience with design systems, component libraries, and implementing consistent UI/UX across large-scale applications.

JPMorgan Chase & Co. is offering a Lead Software Engineer position in Glasgow. As a key member of the agile team, you will develop and deliver secure software solutions that drive the firm's business objectives. You'll be responsible for creating innovative software solutions, leading initiatives, and enhancing technical processes. The ideal candidate must have a strong background in Python SDET, extensive testing experience, and knowledge of agile methodologies.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Python SDET with significant applied experience and expertise In depth knowledge of testing process. Should have worked on test automation framework creation & maintenance Cloud/API hosting knowledge Hands on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In depth knowledge of the financial services industry and their IT systems. Practical cloud native experience Preferred qualifications, capabilities, and skills Payments knowledge will be a plus

JPMorgan Chase & Co. is seeking an Associate/Vice President for the Quantitative Trading & Research team. In this role, you will address complex business challenges using advanced statistical modeling and AI/ML techniques. You will collaborate with business units to automate processes and develop analytical tools that enhance decision-making capabilities. The ideal candidate will have an advanced quantitative degree, experience in data science with Python, and strong communication skills to present findings effectively.

Join us as a Transformation AI Enablement Lead, where you'll coach outcome driven delivery, remove systemic blockers, and design safe, pragmatic GenAI agents that improve productivity, decision quality, and transparency. Key Responsibilities A. Delivery Enablement Enable outcome driven delivery Coach teams and product partners to focus on measurable outcomes, clear goals, and iterative value delivery-avoiding process for process's sake. Remove systemic blockers Identify and resolve impediments across process, organization, dependencies, tooling, and operating model. Facilitate decisive alignment Lead high impact planning, prioritization, dependency mapping, and retrospectives with a strong bias toward decisions and action. Drive data informed improvement Use delivery and flow metrics to surface bottlenecks and anti patterns, translating insights into practical improvement plans. Influence through transparency Communicate risks, progress, and systemic themes to leadership; influence without authority through evidence, narrative, and trust. Contribute to standards and playbooks Identify patterns and codify lightweight guidance that improves consistency while respecting context. B. GenAI Accelerator Enablement (Foundational focus: rapid, practical agents-not deep R&D) Prompt engineering for outcomes Design, test, and refine prompts and system instructions that reliably support delivery and operational use cases (e.g., summarisation, drafting, extraction, Q&A, planning). Prototype lightweight agents Build targeted, fit for purpose agents that streamline repetitive work and improve responsiveness (e.g., intake triage, status synthesis, decision logs, release notes) using enterprise guardrails. Basic tool using agents Configure agents to safely use approved tools and connectors, following governed tool calling patterns. Governance by design Ensure agent prototypes align with enterprise expectations as they mature-registration, lifecycle management, and appropriate risk and control checkpoints. Quality and evaluation Establish lightweight testing practices (accuracy checks, hallucination controls, traceability) before broader adoption. Upskill and enable others Coach teams and partners on prompt quality, limitations, and responsible use, including human in the loop practices and bias awareness. Required Qualifications, Capabilities, and Skills 8+ years in delivery enablement, agile delivery, product operations, program execution, or equivalent experience coaching teams in complex environments. Pragmatic experience across delivery approaches (e.g., Scrum, Kanban, XP informed practices, scaling patterns). Strong stakeholder leadership: facilitation, influencing, executive communication, and comfort with ambiguity. Proven use of metrics and evidence to drive improvement (flow, predictability, quality, and/or operational KPIs). Foundational GenAI fluency: understands LLM strengths and limits; able to craft prompts and prototype simple agent workflows. Comfortable partnering with engineers and conversant in modern engineering practices (CI/CD, testing, APIs, cloud concepts). Preferred Qualifications Formal training or certifications in coaching, agile, or change leadership. Experience building proof of concepts using low code/no code tools or lightweight scripting; basic Python or JSON helpful but not required. Familiarity with enterprise agent concepts, including governance, guardrails, traceability, and secure tool access patterns.

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you. Job responsibilities Work with business leads to develop AI/ML-driven analytics and automation that support their business goals. Build up a scalable data architecture to handle the large volume of transaction data Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development Make real-world, commercial recommendations through effective presentations to various stakeholders Leverage data visualization to communicate quantitative insights to help business decision-making Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward Required qualifications, capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype to production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub You demonstrate hands-on experience in solving sequential decision making problems Experience in applying LLMs and/or deep learning methods to solve business problems Experience in working with Cloud and/or HPC environments

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer in Glasgow, Scotland to join the Capital Technology team. In this role, you will lead the development of market-leading technology products, ensuring they are secure, stable, and scalable. Your responsibilities will include developing technology roadmaps, providing technical guidance, and fostering a team culture of diversity. The ideal candidate will have extensive experience in software engineering, specifically in Python and Java, with additional expertise in cloud technologies.

JPMorgan Chase & Co. is looking for a Transformation AI Enablement Lead to coach teams in the UK. You will enhance delivery by removing blockers and designing GenAI agents to boost productivity and transparency. The ideal candidate has over 8 years of experience in agile delivery and product operations, strong stakeholder leadership skills, and a foundational understanding of GenAI technologies.

Job Description: Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Lead Software Engineer - Data & AI at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Design, build, and maintain scalable data platforms and pipelines that support analytics and AI/ML use cases. Own and optimize Retrieval-Augmented Generation (RAG) pipelines to enable LLMs to safely and accurately use enterprise data. Implement and integrate GenAI capabilities using platforms such as AWS Bedrock, Google Vertex AI, Azure AI, or equivalent services. Develop robust data processing workflows using batch and streaming systems. Design and implement testing strategies across data and AI systems, including unit, integration, end-to-end, and performance testing. Ensure solutions meet enterprise standards for security, privacy, compliance, and governance. Collaborate with data, platform, and product teams to deliver reliable and scalable data and AI services. Mentor team members on engineering best practices, system design, and maintainable software development. Preferred qualifications, capabilities and skills Strong proficiency in Java or JVM-based programming languages & good working knowledge of python. Experience building and operating data pipelines and analytical systems using technologies such as Google BigQuery, Amazon Athena, or ClickHouse. Experience with distributed data processing frameworks such as Apache Spark and/or Apache Flink. Experience with messaging and streaming systems such as Apache Kafka or Apache Pulsar. Experience working with cloud-based platforms (AWS, GCP, or Azure) and distributed systems architectures. Familiarity with cloud-native GenAI platforms such as Vertex AI, AWS Bedrock, or Azure OpenAI. Strong understanding of containerization and orchestration technologies such as Docker and Kubernetes. Understanding of Retrieval-Augmented Generation (RAG) systems and AI-assisted application architectures. Familiarity with embeddings, semantic search, vector databases, and context window limitations in LLM systems. Exposure to agent-based architectures and emerging protocols such as the Model Context Protocol (MCP). Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow)

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorgan Chase, within the Capital Technology team, you will play a pivotal role in an agile feature team. Your focus will be on designing, enhancing, constructing, and delivering market-leading technology products that are secure, stable, and scalable. Your work will have a significant business impact as you apply your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications. Job Responsibilities Develop and enhance the technology and engineering roadmap for your team, aligning with the firm's architectural roadmap. Provide technical guidance and direction, leading, coaching, and mentoring to support the business and its technical teams. Create secure, high-quality production code, and review and debug code written by others. Develop cost-effective technology solutions in line with best practices and the latest technology. Drive decisions that influence product design, application functionality, and technical operations, adhering to best practices and the architectural roadmap. Serve as a subject matter expert in Python/Java and Databricks across the function. Actively contribute to the engineering community, advocating for firmwide frameworks, tools, and Software Development Life Cycle practices. Influence peers and project decision-makers to adopt leading-edge technologies. Foster a team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts with 10+ years of applied experience. Hands-on experience in system design, application development, testing, and operational stability. Advanced proficiency in one or more programming languages. Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical disciplines (e.g., cloud, AI, machine learning,LLM). Ability to independently troubleshoot design and functionality issues with minimal oversight. Preferred Qualifications, Capabilities, and Skills Extensive hands-on experience and certification in AWS and/or Databricks. Proven experience in building and designing large-scale global software solutions. In-depth knowledge and experience in Python/Java and/or Databricks (AWS/Azure). Experience in Data Engineering, working with big data, data warehouses, and understanding data modelling; Data Mesh Architecture and building applications using Data Mesh Architecture. Familiarity with orchestration tools such as Airflow. Understanding of the Capital regulatory reporting framework. Experience in engineering within a regulatory-controlled environment.

JPMorgan Chase & Co. is looking for a Lead Software Engineer - Data & AI to join their new team focused on solving real-world problems. This role requires strong proficiency in Java and good knowledge of Python. The candidate will design and maintain scalable data platforms while collaborating with various teams to deliver reliable AI and data services. A curious mindset and passion for new technology are essential for this position, which promotes a diverse and collaborative work culture.

A multinational financial services company in Greater London is seeking a Trader Voice expert to provide technology leadership for Client Health's Technology Voice Services. This role involves engineering, managing the Trading Voice infrastructure, and ensuring operational efficiency. Applicants should have over 5 years of experience, in-depth knowledge of SIP protocol and VoIP systems, and the ability to document and manage platforms throughout their lifecycle. Strong problem-solving and customer service skills are essential.

Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As an Associate Software Engineer III at JPMorgan Chase within the Platform Experience team in our accelerator business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Execute software solutions, design, development and technical troubleshooting with ability to think beyond routine and conventional approaches to build solutions or break down technical problems Create secure high-quality production code and maintain algorithms that run synchronously with appropriate systems Develop and maintain high-quality user interfaces for web applications using JavaScript, TypeScript and React Collaborate with UX/UI designers to translate design concepts into interactive and responsive user interfaces Ensure the technical feasibility of UX/UI designs Optimise applications for maximum speed and usability Write clean and maintained code while adhering to best practices and coding standards Conduct code reviews Work closely with backend developers to integrate APIs Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience Proven experience as a UI Developer with a strong portfolio of work Proficiency in JavaScript and experience with React Solid understanding of HTML, CSS and responsive design principles Experience with version control systems, such as Git Strong problem solving skills Ability to work independently and as a part of a team in a fast-paced environment Knowledge of testing frameworks and tools such as Jest and Playwright Preferred qualifications, capabilities and skills Proficiency in TypeScript Familiarity with frontend build tools, such as Vite Experience with performance optimisation techniques and tools

JPMorgan Chase & Co. is seeking a Client Advisor in Greater London to manage relationships with Independent Financial Advisers and Discretionary Fund Managers. This role involves both remote interactions and potential in-person meetings across the UK. The ideal candidate will possess strong sales experience and a deep understanding of financial markets, complemented by excellent communication and organizational skills. A commitment to teamwork and the ability to leverage global resources will be essential in this dynamic setting.

Are you passionate about building the next generation of AI solutions? Join us to lead and mentor a team of talented engineers, drive innovation in generative and agentic AI, and deliver impactful, scalable technology for Risk Technology. You'll collaborate with cross-functional partners and play a key role in shaping the future of Asset and Wealth Management Risk. Lead Agentic Gen AI / Natural Language Querying Engineer - Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi agent system design, data science, and NLQ to deliver complex, high impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end to end solutions that drive value for the Risk business. Job responsibilities Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources. Design and execute enterprise wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi agent systems for orchestration, agent to agent communication, memory, telemetry, guardrails, and NLQ driven data retrieval and processing. Guide research on context and prompt engineering techniques to improve prompt based model performance and NLQ accuracy, utilizing libraries such as LangGraph. Develop and maintain tools and frameworks for prompt based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration. Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces. Write secure, high quality production code and conduct code reviews. Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ enabled solutions. Communicate technical concepts and results to both technical and non technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in data science and natural language querying, including experience deploying end to end pipelines on AWS. Strong proficiency in Python. Hands on experience in system design, application development, testing, and operational stability. Experience using LangGraph for multi agent orchestration and NLQ integration. Experience with AWS and infrastructure as code tools such as Terraform. Preferred qualifications, capabilities, and skills Strategic thinker with the ability to drive technical vision for business impact. Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows. Demonstrated leadership working with engineers, data scientists, and AI practitioners. Familiarity with MLOps practices and AI pipelines. Hands on experience building and maintaining user interfaces for NLQ and data exploration.

JPMorgan Chase & Co. is looking for a Lead Software Engineer to design high-performance solutions within their Commercial & Investment Bank, Electronic Trading Technology. The role focuses on leveraging AI for data engineering and delivering innovative analytics capabilities. Qualified candidates should have over 5 years in software engineering, strong skills in Python, KDB, or C++, and the ability to manage technical initiatives across global teams. Experience in fast-paced financial environments is essential.

JPMorgan Chase & Co. is seeking a Principal Architect within the Corporate Technology team. This role is critical for developing high-quality architecture strategies for various software applications. Your responsibilities include leading architecture decisions, partnering with senior leaders, and ensuring compliance with design standards. The ideal candidate will have deep architecture expertise and significant experience in technology leadership within regulated environments.

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Glasgow to drive the development of strategic software products in the Enterprise Observability Platforms team. This role involves leading agile teams and enhancing secure, stable technology solutions that support critical business objectives. The ideal candidate will have significant experience in software engineering, particularly with Java and Spring Boot, and be adept in cloud-native deployments and microservices architecture.