Goldman Sachs Group, Inc.

Goldman Sachs Group, Inc. is seeking a Senior Analyst for their Regulatory Position Reporting team in Birmingham. The role involves ensuring compliance with various non-financial regulatory obligations while leveraging analytical tools to streamline reporting processes. The ideal candidate will hold a bachelor's degree and possess strong analytical, organizational, and communication skills. This position emphasizes collaboration across teams to enhance compliance and reporting processes.

Goldman Sachs Group, Inc. is seeking a Project Manager for Engineering within Developer Experience & Runtime (DXR) in London. The role involves enhancing operational efficiency and maintaining reporting accuracy across multiple tech programs. Applicants should have a STEM degree, 4+ years in technical delivery, strong communications skills, and experience with program management tools like Jira. This position offers opportunities for professional growth and requires balancing stakeholder needs with operational efficiency.

Project Manager - Engineering - Developer Experience & Runtime (DXR) - Associate - London Job Description We are continuing our journey focusing on applying a product mentality to the way we build our products and ensure that we focus on our clients and their needs to build the right product at the right time. This role is responsible for enhancing operational efficiency, data integrity and reporting accuracy across multiple large-scale technical programs within Developer Experience & Runtime (DXR). Working closely with Program Managers, the Chief Product Owner, Product Managers, Engineering leads and the Chief of Staff office, the Program Operations Manager streamlines delivery workflows, administers program management tooling (e.g., Jira), produces insightful dashboards and reporting, and supports financial collation-enabling effective decision-making and strategic alignment while supporting "working backwards" and Agile delivery practices. Your Impact We are looking for a Project Manager who will maintain close relationships with Program Managers, product and engineering teams, and senior stakeholders to ensure program information is accurate, accessible and actionable. You will help teams operate with clarity by improving reporting, strengthening governance and keeping delivery data clean and reliable. Develop, maintain and distribute cross-program reports and dashboards (e.g., from Jira) to provide visibility into status, progress, risks and KPIs. Improve consistency and accuracy of reporting methodologies across programs, aligned to governance frameworks. Support implementation and adherence to program governance and "good ways of working," including Agile principles and ceremonies. Identify opportunities for automation and operational efficiency improvements across program operations and reporting. Administer program management tooling (particularly Jira): workflows, configurations, permissions, custom fields and data structures that enable efficient execution and reporting. Maintain program data integrity, completeness and accessibility; proactively resolve data discrepancies with stakeholders. Act as a central point of contact to gather updates, facilitate information flow, and ensure timely, high-quality inputs for program reviews. Support financial collation (budget tracking, expenditure reporting, forecasting inputs) and prepare summaries for program reviews and executive reporting. Onboard and train team members on tooling and best practices to promote efficient, consistent data entry and usage. How You Will Fulfil Your Potential You will be an experienced project manager, working cross functionally to guide programs from conception through launch, growth and maturity by connecting different technical worlds to meet our customers at their needs. You will break down complex problems into steps that drive product development and release adopting the principals of growth from MVP / PoC. This role offers an opportunity to lead projects which involve various businesses and entities within the firm. You will have the opportunity to work with various teams across the firm. This role requires a professional with proven project management and delivery skills. Strong communication skills are equally important, as the role will involve working closely with team members in many other groups in the firm. Be a ruthless prioritiser while balancing the needs of customers and stakeholders while being transparent about your prioritization and roadmap process. Skills and Experience We Are Looking For STEM degree and equivalent practical experience in project management. 4+ years of technical delivery experience. Demonstrated ability to communicate complex problems and technical solutions to all stakeholders. Proven ability to influence cross-functional technical teams. Demonstrated experience in understanding the customer, product development, requirements analysis, planning and program strategy. Must have experience with managing client expectations and communicating effectively with individuals at all levels of the organization. Ability to translate business requirements into a product roadmap. Strong analytical and problem solving skills. Highly organized, attention to detail and excellent follow through skills. Ability to work independently and with a team. Preferred Qualifications Program management qualification or equivalent practical experience in program operations / PMO. Strong technical foundation in software delivery and reporting/data tooling. Experience building or maintaining Jira configurations, dashboards and governance reporting. Job Info Job Identification 168946 Job Category Associate Posting Date 04/23/2026, 10:00 AM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer. Learn More

Goldman Sachs Group, Inc. is seeking a Vice President Software Engineer in Birmingham, England. This role involves designing and maintaining systems for the billing platform while collaborating with various teams to enhance service capabilities. The ideal candidate should have over 7 years of software development experience along with a strong understanding of object-oriented programming, REST services, and database management. Join a team of innovators at Goldman Sachs to make impactful changes in the financial industry.

Asset & Wealth Management - Software Engineer - Vice President - Birmingham Birmingham, West Midlands, England, United Kingdom Job Description What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Who We Look For Goldman Sachs Engineers are innovators and problem solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast paced global environment. Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading edge technology, data and design. HOW YOU WILL FULFILL YOUR POTENTIAL We are looking for a skilled and motivated software engineer to design, build, and maintain robust, scalable, and efficient system and infrastructure for our billing platform. Propose, design, and implement software solutions to enhance our services and enable new business functions. Perform hands on development; participate in architecture and design discussions, design reviews. Work closely with other engineering teams across the firm to develop data feeds, APIs, processing pipelines. Work closely with the global user group to support and enhance the applications to meet new requirements. Understand the business workflows to assist in analysing and converting business requirements into technical specifications. Collaborate with business stakeholders to gather requirements, understand data needs, and transform them into actionable insights that drive business decisions. Develop and maintain scalable and efficient dashboards, reports, and data visualizations that effectively present complex data in a user friendly manner. Provide technical support and troubleshooting data pipelines and transformations, resolving issues and ensuring system availability. Stay up to date with emerging technologies, industry trends, and business intelligence and data analytics best practices. SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in computer science, Information Systems, or a related field. 7+ years of hands on software development experience. Solid understanding of object oriented skills and frameworks. Experience with producing scalable software designs. Experience in Spring, REST services, JMS, Hibernate/JPA, JSON is required. Experience working with databases like Sybase or MongoDB. Experience with designing/delivering messaging based solutions (e.g. Kafka). Fast learner who can pick up existing applications (functionally & technically). Excellent problem solving abilities and attention to detail. Strong communication and collaboration skills to work effectively with cross functional teams. Ability to work in a fast paced environment, manage multiple priorities, and meet project deadlines. Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation. Strong communication skills (in person, phone, and email). Prior experience with people management. Prior experience leading & delivering projects independently and working in global project team setup. Ability to work on multiple programs. Interest in finance. Preferred Qualifications Experience in the financial industry or a related field. Familiarity with cloud based data warehouses (e.g., Snowflake, GBQ). Familiarity with cloud based data pipeline services (e.g AWS Glue) or distributed processing frameworks like Apache Spark. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 168774 Job Category Vice President Posting Date 06/22/2026, 04:51 PM Locations Birmingham, West Midlands, England, United Kingdom

Goldman Sachs Group, Inc. is seeking a Vice President Software Engineer based in London to join its Global Banking & Markets division. This role involves designing and implementing a cloud-native platform for Equities Trading, driving strategic transformation through AI tools, and developing high-availability services. The ideal candidate has over 8 years of software development experience, particularly in Java, and a proven track record in developing event-driven architectures. Competitive benefits and a commitment to diversity and inclusion are part of the offering.

Global Banking & Markets - Software Engineer - Vice President - London Job Description The Opportunity Goldman Sachs has embarked on one of its most ambitious engineering programs: the Consolidated Trade Ledger (CTL), a ground up reimagining of the front-to-back architecture that underpins every trade the firm executes. CTL is a flagship initiative jointly sponsored by Global Markets and Engineering leadership, and it sits at the very heart of the firm's core technology strategy. This new, cloud-native platform will deliver the capacity, extensibility, scalability, and innovation capabilities to power the next two decades of growth for Global Markets, while simultaneously driving significant operational efficiencies. The program follows an engineering-principles-first approach and represents a rare chance to define the foundational systems of a world leading financial institution from the ground up. As trading volumes continue to accelerate, we are building a small team of ambitious and highly experienced engineers to spearhead the migration of our entire global Equities trading business onto CTL. The Role You will work with a set of core CTL business services and adapt them for Equities Trading, creating capabilities that can be leveraged across Global Markets front, middle, and back office functions. This includes extending CTL's flexible data model to integrate seamlessly with existing production idioms, while meeting the diverse and often complex business requirements of a global 24x7 trading operation, while balancing stringent non functional demands for availability, latency, and resilience. Critically, you will lean heavily into AI driven development. Using Goldman Sachs' AI tooling and agentic coding assistants, you will govern multiple AI agents, rapidly comprehend large legacy codebases, generate and assess production quality code, and accelerate every phase of the software development lifecycle. Your Impact Drive a strategic transformation: Work alongside domain experts to understand existing production processes, challenge long held assumptions that may no longer hold in a cloud centric, AI driven world, and define and deliver the requirements for CTL integration. Multiply your output with AI: Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot, Devin, Gemini Code Assist) across all stages of the SDLC while maintaining mastery, quality, and production fitness over all AI generated work product. Deliver outsized business value: Position Goldman Sachs' Equities business to handle orders of magnitude higher volumes at lower operational costs, directly contributing to the firm's competitive and commercial edge. Build for the future: Design and implement high availability, multi region, event driven services on a modern cloud native platform, setting the architectural standard for years to come. What You Will Do Design, build, and operate high availability, multi region, cloud native services with security and comprehensive observability (metrics, distributed tracing, structured logging) built in at every layer. Develop event driven architectures, multi stage processing pipelines, and optimized data paths for high throughput trade lifecycle management. Partner with engineers, domain experts, and global stakeholders to understand, model, and digitize the firm's business processes, challenging entrenched practices and driving modernization across teams. Manage the full lifecycle of software components, from requirements analysis through design, development, testing, and release, in line with robust SDLC and Agile best practices. Innovate creative solutions to complex business and technical problems, building reusable capabilities that can be leveraged across Global Markets front, middle, and back office functions. Multiply your impact with a modern, AI centric toolchain, orchestrating AI coding agents across all stages of the SDLC to rapidly comprehend large codebases, generate production quality code, and accelerate delivery. Required Qualifications 8+ years of professional software development experience in Java (Java 17+ preferred), with strong command of concurrency, collections, and modern language features. Demonstrated experience with AI assisted engineering tools (e.g., Claude Code, GitHub Copilot Agent Mode, Devin, Gemini Code Assist), including the ability to govern AI agents, critically assess their output, and maintain quality over AI generated work product. Experience building event driven and distributed systems, including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies. Strong SDLC practices: version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality tooling. Solid testing discipline: unit, integration, and acceptance testing with modern frameworks. Ability to rapidly navigate, understand, and debug large and unfamiliar codebases- with and without AI assistance. Excellent communication and collaboration skills across technical and non technical audiences in geographically distributed teams. Preferred Qualifications Experience with a meaningful subset of the following is highly valued: Frameworks & Architecture: Spring Boot, gRPC / Protocol Buffers, integration/orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead letter queues, error isolation). Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high availability environments. Data & Performance: Data modeling, SQL/NoSQL databases, caching strategies, and performance optimization in latency sensitive systems. Security: Enterprise security patterns; authentication protocols, mutual TLS, secrets management, and certificate rotation. Domain Knowledge: Equities, post trade, or financial services experience; trade lifecycle concepts, asset servicing, position management, reconciliation, and multi system migration environments. Other: Asynchronous / non blocking I/O frameworks (e.g., Vert.x, Netty), multi region / BCP architectures, and open source contribution experience. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 170008 Job Category Vice President Posting Date 04/24/2026, 03:44 PM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also provide state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site child care centers that provide full time and emergency back up care . click apply for full job details

Asset & Wealth Management - Software Engineer, AI Platform and Services - Associate - Birmingham Birmingham, West Midlands, England, United Kingdom Job Description The AI Platform and Services Associate will provide thought leadership across the organization, with regards to concrete opportunities to use and leverage AI models and tools to accelerate program delivery end to end. This would include providing and influencing product, strategic direction and roadmap. What you'll do: Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access. Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability. Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes. Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk. Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load. Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness. Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns. Qualifications A Bachelor's degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist / machine learning engineer. Essential Skills 3-5 years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 3 years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows. Practical experience with Large Language Models (LLMs): API integration, prompt engineering, finetuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution). Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation). Job Info Job Identification 173968 Job Category Associate Posting Date 05/21/2026, 10:12 PM Locations Birmingham, West Midlands, England, United Kingdom Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Goldman Sachs Group, Inc. is looking for an Asset & Wealth Management Software Engineer in Birmingham to lead AI projects that enhance program delivery. The role demands a strong background in software development, particularly in Python and machine learning systems. Ideal candidates should possess a Bachelor's degree or higher and 5+ years of relevant experience, alongside practical skills in large language models and cloud infrastructure, particularly AWS. The position will offer opportunities to directly influence strategic AI initiatives.

Job Description A career with Goldman Sachs Asset & Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers with over $3 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions, and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, Goldman Sachs Asset & Wealth Management provides clients around the world with a dedicated partnership and focus on long-term performance. As a primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals. ROLE SUMMARY The Quantitative Investment Strategies (QIS) group within Asset & Wealth Management is responsible for managing client assets, and is a market leader in quantitative portfolio management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including Exchange Traded Funds (ETFs), mutual funds, and separately managed accounts. The role focuses on Systematic Volatility investing within our QIS Liquid Alternatives group and will contribute to the innovation and future growth of our volatility investing franchise with a particular focus on Defined Outcome and other derivatives based structures in an ETF wrapper. RESPONSIBILITIES Perform portfolio research and portfolio construction for liquid, derivatives based portfolios Contribute to quantitative research on systematic volatility strategies across equity and other Macro asset classes Collaborate with senior portfolio managers to further develop, enhance, and maintain the research and portfolio management platform, encompassing strategy backtesting, performance monitoring, and risk analysis Manage the end to end lifecycle of core software repositories both in research and production environments, creating and reviewing code in accordance to the team's SDLC requirements, to support the code base infrastructure Manipulate structured and unstructured large datasets to extract quantitatively based insights for systematic volatility strategies Assess the feasibility of systematic investment strategies regarding trading and implementation, incorporating liquidity and trading cost considerations Serve as a junior portfolio manager for the systematic volatility vertical within the QIS Liquid Alternatives group Monitor systematic volatility premia models on an ongoing basis to ensure expected return delivery within expected risk parameters Review and sign off trades generated by the team's systematic investment models Contribute to the monitoring to ensure that the portfolios and associated materials are compliant with the relevant regulatory, governance, and risk processes Assist client facing personnel when addressing client requests requiring quantitative analysis as well as when directly engaging with clients in in depth discussions about volatility based portfolios REQUIRED QUALIFICATION Excellent Python programming skills and experience with other programming languages (e.g. C# or other languages) Proficiency in developing and deploying high quality code within a production environment, ensuring strict adherence to established architectural standards and coding best practices Knowledge of options pricing theory (classic and modern pricing methods, portfolio replication and stochastic calculus) and options derivatives analysis Strong familiarity with advanced statistics, linear algebra, asset pricing models, and optimization techniques Ability to synthesize and present research analysis, recommendations, and implications of investment decisions to senior management, client facing personnel, as well as clients ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at LOCATIONS London, Greater London, England, United Kingdom BENEFITS Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer.

Goldman Sachs Group, Inc. is seeking a Data Scientist Associate in London, responsible for designing and implementing data-driven models to enhance investment performance. This role involves partnering with Deal Teams and portfolio company management teams to drive AI initiatives. The ideal candidate will have a MSc or PhD in a quantitative field and 2+ years of relevant experience, alongside strong programming skills in Python and SQL. Familiarity with LLMs and modern AI tooling is a plus.

Asset & Wealth Management - Data Scientist - Associate - London Job Description Join our Alternatives Data Science team and contribute to DSML and AI initiatives across the full lifecycle of the investment process. The Data Scientist will be responsible for the design, development, and implementation of data- and AI-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams. Key Responsibilities Leverage sophisticated statistical, mathematical, and programming skills to analyse complex datasets, support the investment processes, and drive quantifiable commercial value Partner with Deal Teams to identify high-value commercial problems and translate them into well-scope technical solutions Own the end-to-end delivery of prototypes through an investment lens- from framing the commercial problem and sourcing alternative datasets, to exploring the data and building the underlying model or pipeline that powers the solution Partner strategically with portfolio company management teams to drive data and AI initiatives for value creation Partner with GS Engineering to lead development and implementation of data-centric and AI tools, enhancing our investment processes and supporting our deal and fundraising teams Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division's data and AI capabilities Qualifications, experience, and attributes MSc or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field 2+ years of relevant experience applying quantitative methods to commercial problems with measurable impact Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn) and comfort writing clean, modular code beyond notebooks High-level of proficiency in mathematics, statistics, and data science theory Proven experience implementing sophisticated data science techniques, handling large datasets, translating data into actionable business insights. Experience with alternative data is advantageous Commercial experience with a strong track record of quantitative problem solving and realised commercial impact Excellent written and verbal communication and collaboration skills with a strong growth mindset Highly valued Hands on experience building with modern AI tooling, including LLMs, prompt engineering, RAG pipelines, embeddings, vector databases, and at least one agent or orchestration framework (e.g., LangChain, LlamaIndex, LangGraph) Experience with cloud platforms (AWS, Azure, GCP) and basic familiarity with Docker, APIs, and lightweight web frameworks (FastAPI, Streamlit) for shipping prototypes Exposure to private equity, investment banking, consulting, or operating roles in portfolio companies Experience working in embedded or client facing delivery models (consulting, forward deployed, solutions engineering) supporting data-informed decision making Familiarity with LLM evaluation frameworks and responsible AI practices Adept at designing high-performance schemas and feature stores within modern cloud data platforms (e.g., Databricks, Snowflake); specialized in transforming complex, unstructured datasets into structured, optimized formats engineered specifically to train and scale predictive models. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law. We are committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

Goldman Sachs Group, Inc. is looking for an Analyst/Associate for their Asset & Wealth Management Control Office in Birmingham. This role focuses on strengthening monitoring processes, collaborating with stakeholders, and managing risks effectively. Candidates should have a solid understanding of the Asset & Wealth Management industry and a minimum of one year in risk management. The position emphasizes analytical skills, communication, and the ability to drive process improvements while supporting management reporting. Join a team committed to excellence and innovation.

OUR IMPACT The Corporate Planning & Management (CPM) division integrates financial planning, spend management, third-party risk management, product management and engineering teams to support strategic decisions across the firm. Finance & Planning drives business planning, budgeting, and analytics across revenue, expense, liquidity, and capital. The pillar includes divisional CFOs providing strategic finance advisory, Product Finance managing non-compensation expense governance, and Corporate Insurance & Advisory overseeing the firm's insurance needs and risk mitigation. Global Procurement strategically manages third-party engagement, optimizing value and mitigating risks across the supply chain. Key functions include Strategic Sourcing, Third-Party Risk Management (TPRM), Procure to Pay (P2P), Travel, and Sustainable Operations driving ESG initiatives. Product & Reporting manages the product lifecycle for CPM technology platforms and delivers comprehensive reporting, dashboards, and analytics. The team oversees financial planning and analysis systems, spend management tools, and TPRM solutions while providing stakeholders with actionable insights for evidence-based decisions. CPM Engineering provides engineering solutions enabling third-party spend management, data automation, budget planning, financial forecasting, and expense allocation aligned with strategic objectives. CPM Management provides strategic oversight, operational support, communications and change management, and risk governance across the division. YOUR IMPACT Professionals in CPM have an analytical mindset, exhibit intellectual curiosity and are from diverse academic backgrounds. This BI Specialist role sits within the Product & Reporting team. The role requires collaboration with different functions across the firm on a regular basis, an ability to work independently, and ability to interact with senior professionals across the firm. This entails in-depth data analysis and producing reporting for senior management, requiring diligence and a commercial mindset. The candidate is required to work closely with global counterparts. Should have excellent verbal and written communication skills. Job Responsibilities will include, but are not limited to: Develop ETL (Extract, Transform and Load) processes to integrate data from various sources into a centralized data warehouse to provide a comprehensive view of operational and third-party risk across the firm Analyze data to identify patterns, trends, and anomalies that may indicate potential risks. Utilize BI tools to develop interactive dashboards to visualize these key risk indicators and performance metrics Leverage your innovative skills to identify potential areas to create operational efficiencies and automate manual processes Leverage Program owners, working groups and other stakeholders to enable enhancements to the workflow or key metrics Partner with engineering teams to develop scalable business processes and data pipelines to support our clients Manage prioritization and stakeholder engagement to maximize delivery towards established business goals Qualifications: Graduate or Undergraduate degree in Computer Science, Statistics, Math, Engineering or related field Minimum of 4 years of experience in Business Intelligence / Data Analytics Analytical, self-motivated, detail-oriented with strong problem-solving skills Ability to communicate clearly with end users, development managers and other stakeholders Ability to work within a high-risk environment and meet challenging deadlines and targets Proficient in database query languages (such as SQL) and Data Visualization (platforms such as Power BI, QlikSense) Experience with using multi-dimensional data modelling/data warehousing for data analytics and reporting Preferred Qualifications: Data governance and modelling experience Experience in gathering and documenting requirements with full testing traceability Experience in predictive analytics using tools such as Python, or R Certifications: Relevant certifications in database technologies (e.g., Certified Data Professional), ETL Tools and BI Platforms (e.g., Power BI/ Power Platform specialist) ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Goldman Sachs Group, Inc. is looking for a Financial Analyst to support Private Wealth Management clients by analyzing portfolios and implementing wealth management strategies. As a Financial Analyst, you will work closely with Private Wealth Advisors and develop marketing materials, while staying updated on market trends. The ideal candidate holds a Bachelor's degree, is fluent in English, and possesses strong communication and organizational skills. This position offers the opportunity to work in a dynamic and fast-paced environment.

Asset & Wealth Management, Control Office, Issue Management, Analyst/Associate, Birmingham Job Description ASSET & WEALTH MANAGEMENT Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm's primary investment area, we provide investment and advisory services for some of the world's leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors, spanning traditional and alternative markets offering products and services Advisors, understanding our clients' priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders, providing timely insights across macro and secular themes to help inform our clients' investment decisions Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals TEAM & ROLE OVERVIEW The Asset & Wealth Management (AWM) Control Office is a group in the AWM Risk organization overseeing the division's control capabilities and maintaining confidence with the regulators and our clients. The AWM Risk division is responsible for the execution of a risk governance framework, and for establishing appropriate risk management best practices holistically across our business, including identification, measurement, monitoring, escalation and remediation of applicable risks within AWM. This group comprises three critical risk programs, including the Control Program, Third Party Risk Management (TPRM) and Resilience Program, and the Testing Program. Our primary objectives are to establish a best-in-class operating platform for risk data, insights, remediation and certification; ensure operational resilience by preventing, responding to, and adapting from significant disruptions that could impact our clients, partners or the firm; and strengthen the effectiveness of our risk and control environment, as well as identifying opportunities for control improvement through convergence and automation. Issue Management is one of the key pillars in an effective enterprise risk governance framework. An effective Issue Management program helps the firm and its businesses proactively identify and manage risks and exposes existing and potential vulnerabilities in our control environment. It serves as the foundation to enable deep-rooted and holistic remediation, drive risk ownership and accountability, and provide horizontal transparency for management to gauge and improve the health of our overall risk management programs. We are seeking an experienced Associate for our Issues Management Team within the AWM Control Office. In this role, the candidate will look to strengthen our monitoring and collaborate with various stakeholders to create innovative solutions to complex issues. The ideal candidate will have a strong understanding of risk management, governance frameworks, and a strong control mindset. RESPONSIBILITIES Assist in remediation planning and identification of issues by monitoring business health and delivering the improvement/process on time. Proactively investigate and escape potential issues as appropriate. Work closely with cross-functional partners to ensure collaboration and process efficiencies are maintained. Drive improvements in business processes and ensures optimal resource utilization and audit-compliant administrative process and strategy. Understand and apply the firm's issue management governance, including applicable policies, frameworks, and standards. Advise, challenge and influence on recommended ways to mitigate risk. Engage and communicate effectively with all levels of stakeholders across AWM on effective review of issues, including root causes analysis, remediation, and lessons learned. Analyze AWM issues for macro themes, patterns, clustering and emerging risks. Develop data-driven analysis, qualitative assessments and analytical visualizations. Prepare management reporting for senior management and stakeholders across the firm to provide a holistic and actionable understanding of AWM issues. EXPERIENCE & QUALIFICATIONS A minimum of 1 year's experience within a risk management or control discipline context (Risk, Compliance & Operations). A Bachelor's degree along with a solid understanding of the Asset & Wealth Management industry. Exceptional analytical, problem-solving, critical thinking and project management skills with a proven track record of execution against deadlines. Experience with managing internal and external audits, fostering effective stakeholder relationships. Experience in delivering informative metrics and quantitative analysis to support management reporting. Innovative mindset with a sharp focus on identifying and implementing practical control enhancements and automation possibilities. Effective influencing skills to challenge the status quo and continuously improve the control environment. Excellent communication skills to clearly articulate issues and ideas with different levels across Asset & Wealth Management stakeholders. Strong time-management skills to effectively prioritize, multi-task and meet time-sensitive deadlines. Strategic thinker who anticipates questions, analyzes complex issues, plans for contingencies and identifies alternative solutions and clear objectives. RESPONSIBILITIES ABIDING TO EEO AND ACCOMMODATIONS We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more at

OUR IMPACT The Corporate Planning & Management (CPM) division integrates financial planning, spend management, third party risk management, product management and engineering teams to support strategic decisions across the firm. Finance & Planning drives business planning, budgeting, and analytics across revenue, expense, liquidity, and capital. The pillar includes divisional CFOs providing strategic finance advisory, Product Finance managing non compensation expense governance, and Corporate Insurance & Advisory overseeing the firm's insurance needs and risk mitigation. Global Procurement strategically manages third party engagement, optimizing value and mitigating risks across the supply chain. Key functions include Strategic Sourcing, Third Party Risk Management (TPRM), Procure to Pay (P2P), Travel, and Sustainable Operations driving ESG initiatives. Product & Reporting manages the product lifecycle for CPM technology platforms and delivers comprehensive reporting, dashboards, and analytics. The team oversees financial planning and analysis systems, spend management tools, and TPRM solutions while providing stakeholders with actionable insights for evidence based decisions. CPM Engineering provides engineering solutions enabling third party spend management, data automation, budget planning, financial forecasting, and expense allocation aligned with strategic objectives. CPM Management provides strategic oversight, operational support, communications and change management, and risk governance across the division. YOUR IMPACT Professionals in CPM have an analytical mindset, exhibit intellectual curiosity and are from diverse academic backgrounds. This BI Specialist role sits within the Product & Reporting team. The role requires collaboration with different functions across the firm on a regular basis, an ability to work independently, and ability to interact with senior professionals across the firm. This entails in depth data analysis and producing reporting for senior management, requiring diligence and a commercial mindset. The candidate is required to work closely with global counterparts. Should have excellent verbal and written communication skills. Job Responsibilities will include, but are not limited to: Develop ETL (Extract, Transform and Load) processes to integrate data from various sources into a centralized data warehouse to provide a comprehensive view of operational and third party risk across the firm. Analyze data to identify patterns, trends, and anomalies that may indicate potential risks. Utilize BI tools to develop interactive dashboards to visualize these key risk indicators and performance metrics. Leverage your innovative skills to identify potential areas to create operational efficiencies and automate manual processes. Leverage Program owners, working groups and other stakeholders to enable enhancements to the workflow or key metrics. Partner with engineering teams to develop scalable business processes and data pipelines to support our clients. Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. Qualifications: Graduate or Undergraduate degree in Computer Science, Statistics, Math, Engineering or related field. Minimum of 4 years of experience in Business Intelligence / Data Analytics. Analytical, self motivated, detail oriented with strong problem solving skills. Ability to communicate clearly with end users, development managers and other stakeholders. Ability to work within a high risk environment and meet challenging deadlines and targets. Proficient in database query languages (such as SQL) and Data Visualization (platforms such as Power BI, QlikSense). Experience with using multi dimensional data modelling / data warehousing for data analytics and reporting. Preferred Qualifications: Data governance and modelling experience. Experience in gathering and documenting requirements with full testing traceability. Experience in predictive analytics using tools such as Python, or R. Certifications: Relevant certifications in database technologies (e.g., Certified Data Professional), ETL Tools and BI Platforms (e.g., Power BI / Power Platform specialist). Equal Opportunity Statement Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Accommodations We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

Internal Audit, Asset & Wealth Management, Analyst, London Job Description In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, sales & trading, investment management and consumer banking services to a substantial and diversified client base that includes corporations, financial institutions, governments and consumers. Internal Audit's (IA) mission within Goldman Sachs is to independently assess the firm's overall control environment, including the firm's governance processes, controls, risk management and anti-financial crime frameworks. IA comprises of global functional audit teams covering the various business areas of the firm: Global Banking and Markets, Asset and Wealth Management and Platform Solutions. The IA Asset and Wealth Management team in London is responsible for auditing the Asset Management, Private Wealth Management and Marcus business areas, its products, and supporting functions within the UK. We are looking for detail-oriented team players who want to gain insight into the firm's operations and control processes and learn more about the Asset and Wealth Management businesses. HOW YOU WILL FULFILL YOUR POTENTIAL Collaborate and work as a team across IA Asset & Wealth Management, IA and Goldman Sachs Develop and maintain an in-depth understanding of business areas, its products, and supporting functions Use and develop data analytics computer assisted audit tools and techniques to assist in execution of audits and risk assessment Assist in every step of an audit, including documentation, across scoping, planning, fieldwork and reporting Perform walkthroughs with stakeholders to perform control design assessments and presenting results of work performed to management Execute audit testing to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to Internal Audit senior management and business stakeholders Follow-up on open audit issues and their resolution Participate in department-wide initiatives aimed at continually improving Internal Audit's processes and supporting infrastructure SKILLS AND EXPERIENCE WE ARE LOOKING FOR: BASIC QUALIFICATION Minimum 1 year of prior experience in auditing controls. This could be in an IA team, external audit team, or consulting, regulatory body or a related control function, with controls testing as part of your role, i.e. compliance testing group or a risk and control team. Team-oriented with a strong sense of ownership and accountability Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Interest in developing your knowledge of Wealth Management Highly motivated with strong analytical skills, willing and able to learn new business and system processes quickly PREFERRED QUALIFICATION Relevant certification or industry accreditation (e.g., ACA, CAMS, CIA, CFA) is a plus Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 164615 Job Category Analyst Posting Date 06/09/2026, 10:01 AM Locations London, Greater London, England, United Kingdom

Job Description The Opportunity Join a team building the data foundations that support the firm's AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm. At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform. This is a delivery focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision making and emerging AI use cases. Role Summary As a Data Engineer, Lakehouse and AI Data Platform, you will design, build, test and support data pipelines and curated datasets on the firm's modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform. Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Ensure data pipelines are production ready, well tested and operationally supportable. Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs. Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution. Delivery and Partnership Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations. Communicate clearly on progress, risks, dependencies and design choices. Take a broader role in technical leadership, task breakdown and support for junior engineers. Skills and Experience Required Bachelor's or master's degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices. Data Engineering Capability Stronger ownership of technical design across multiple datasets or pipeline domains. Experience guiding implementation standards, code quality and engineering practices within a team. Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers. Understanding of temporal data modelling, including the handling of historical state and change over time. Knowledge of schema design, schema evolution and data compatibility considerations. Understanding of partitioning, clustering and other techniques used to improve data performance at scale. Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys. Practical approach to data quality, reconciliation and root cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark. Working knowledge of common data formats such as JSON, Avro and Parquet. Technology Environment The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes based deployment approaches where relevant You'll also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important. What We Are Looking For We are looking for engineers who can deliver well structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast paced environment where data platforms support important business outcomes. Stronger candidates will typically demonstrate: Sound judgement in technical trade offs Attention to detail in data correctness and testing A clear and structured approach to problem solving Willingness to work closely with stakeholders and partner teams An interest in developing long term expertise within the firm Job Info Job Identification 169296 Job Category Vice President Posting Date 04/16/2026, 03:14 PM Locations London, Greater London, England, United Kingdom Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

A leading financial services firm is seeking a Data Engineer to design, build, and maintain data pipelines on its modern Lakehouse and AI data platform. The ideal candidate will have a strong programming background in Python or Java, knowledge of SQL, and experience with data processing frameworks such as Apache Spark. Responsibilities include enhancing data pipelines, ensuring data quality, and collaborating with engineering teams. The position is located in London and offers significant growth opportunities within the firm.