Jobs at Goldman Sachs

Drive firmwide data governance and quality assurance initiatives, including policy adoption, end-to-end data testing, testing metrics, analytics, documentation, stakeholder communication, and remediation support. The role partners with divisional data offices and senior stakeholders to improve data accuracy, governance processes, regulatory outcomes, and testing efficiency through automation and AI.

Quantitative desk strategist focused on pricing, risk, automation, and franchise growth for synthetics products. Develop and maintain derivatives pricing models, design automated risk frameworks, partner with traders on risk and P&L attribution, and drive process improvements and product onboarding.

Lead and coach engineering teams to design, build, and operate full‑lifecycle compliance surveillance and model solutions. Partner globally with stakeholders to deliver scalable, real‑time data pipelines and responsive UIs, leveraging Java/React/GraphQL/Kafka/Elasticsearch/Kubernetes and AI‑assisted developer tools while enforcing testing and SDLC best practices.

Build production-ready analytics and ETL solutions to support Internal Audit. Perform data modeling, engineering, governance, entitlement management, and write analysis code to improve audit sampling, detect control gaps, and automate audit processes.

Design, build, and maintain full-stack cloud-native applications for financial planning and risk platforms. Develop responsive front-ends and robust back-end services, leverage AI/GenAI tools and agentic frameworks (RAG, LLMs) to accelerate development, collaborate globally with finance and product teams, own features end-to-end, participate in code reviews, and improve platform scalability and automation.

Join Compliance Engineering to design, build, and operate platforms that detect and mitigate regulatory risk. Partner globally to deliver end-to-end solutions using Java and modern web and data technologies, working across the full software lifecycle on large data sets, real-time processing, messaging, workflow and UI/UX. Use AI-assisted developer tools to accelerate coding, testing, and review while productionizing high-quality, secure software.

Develop and scale high-performance risk metrics engines and workflows for global risk management. Build reliable calculation and data-processing systems, contribute to AI-driven cloud architecture, write production-grade code, implement testing and CI/CD practices, resolve technical issues, and participate in code reviews. Collaborate with quantitative engineers, technical leaders, product managers, and stakeholders to deliver resilient systems supporting risk, capital, liquidity, and lending metrics.

Manage financial and non-financial risks across the APAC regional portfolio and legal entities. Responsibilities include interpreting regulatory requirements, supporting regulatory examinations, coordinating questionnaires and data requests, managing governance policies, participating in risk committees and board meetings, and providing insights to regional and global risk leadership.

Support front-to-back operations across asset management, wealth, FICC/equities, treasury, or regulatory functions. Execute client onboarding, post-trade processing, compliance controls, and process improvements. Partner with global stakeholders, manage multiple projects, mitigate operational risk, and drive process and technology change to enhance client experience.

Site Reliability Engineer on the Compliance Engineering team responsible for ensuring production service health, capacity planning, monitoring, incident management, SLIs/SLOs, automation to reduce toil, and collaborating with engineers to improve scalability, reliability, and observability across distributed, cloud-native and big-data systems.

Support the Office of the Chairman by driving executive engagement strategy, preparing briefing materials and speeches, managing project timelines and deliverables, coordinating firmwide strategic initiatives and communications, and partnering across the firm to prepare senior leadership for client and stakeholder interactions.

Manage third-party risk workflows and vendor lifecycle activities, serve as SME on TPRM policies, engage stakeholders to ensure program compliance, monitor and complete vendor tasks, and drive process improvements across global teams.

Responsible for financial control and regulatory reporting across the firm, managing liquidity, capital and risk assessments, ensuring compliance with market regulations, and supporting alternative investment oversight. Role requires collaboration, strong ethics, and attention to detail to safeguard firm assets and ensure accurate, compliant financial reporting.

Lead AI engineering for Market Risk: build reporting, web UIs, database and batch calculation systems; design, train, deploy, and monitor ML/AI models and end-to-end pipelines; integrate LLMs and agents in cloud/distributed environments; partner with risk and quant teams to translate requirements; optimize agent performance and mentor engineers.

Design, implement, test, deploy, and maintain surveillance and compliance software; work with large and real-time data sets; partner globally with stakeholders; use Java/Python, data platforms and AI-assisted developer tools to accelerate delivery and productionize robust solutions.

Support Private Wealth Advisors by monitoring portfolios, analyzing asset allocation and risk/return characteristics, researching investments, preparing client marketing presentations, executing trades and rebalancing, and coordinating with product groups. Relay market and research views, assist with trading and client service, and provide team support to implement customized wealth management strategies for high-net-worth clients.

Lead program management for a major non-financial risk and controls transformation: translate strategy to execution, align stakeholders, define metrics and multi-year plans, produce executive materials, facilitate governance, and drive delivery across risk, compliance, and engineering teams.

Provide compliance coverage for the Engineering division with a focus on AI governance and controls. Coordinate regulatory responses, develop AI governance frameworks, perform risk assessments, testing, surveillance and investigations, and deliver training. Advise and challenge engineering and business stakeholders, partner globally on technology regulatory requirements, and support policy and compliance program development.

Calculate, analyze, and report regulatory capital, leverage, and systemic risk. Improve workflows and infrastructure for regulatory reporting, provide capital attribution to businesses, produce projections and ad-hoc analyses, and collaborate with Controllers, Treasury, Risk, Legal, and Technology teams.

Build and operate highly available, scalable, fault-tolerant production systems and observability platforms. Monitor system health, manage incidents, conduct blameless postmortems, improve testing and release procedures, support system design and capacity planning, and automate reliability improvements. Collaborate with engineering teams to establish service-level objectives and promote resilience engineering practices.