Jobs at Goldman Sachs

Design, build and support batch and streaming data pipelines on the Lakehouse/AI data platform. Develop raw, refined and curated datasets, apply temporal and schema modelling, ensure data quality and reconciliation, implement testing/monitoring, and collaborate with engineers and stakeholders to deliver production-ready data products.

Investigate deposit and transaction fraud across channels (checks, ACH, wires, digital), place holds, contact customers and banks, document actions, run risk reports and third-party research, recommend account restrictions or closures, and help improve fraud detection processes.

Develop and maintain end-to-end compliance software solutions using Java and modern frameworks. Partner globally with stakeholders to design, implement, test, deploy, and support applications involving APIs, real‑time messaging, UI/UX, and large datasets. Leverage AI‑assisted developer tools to accelerate coding, testing, and code review while ensuring production quality and regulatory compliance.

Lead geographically distributed engineering teams developing mission-critical risk and controls software. Drive AI-assisted SDLC adoption, public cloud migration, distributed systems architecture, real-time data pipelines, and end-to-end software delivery. Build scalable full-stack solutions using Java and modern technologies, collaborate with global stakeholders, and mentor engineers while modernizing applications, workflows, infrastructure, and data platforms.

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.

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.

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.

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.

Lead the design and development of production-grade agentic AI systems that automate complex business and cybersecurity workflows. Build scalable capabilities for orchestration, memory, tool integration, observability, governance, evaluation, and human oversight. Define secure and auditable architecture, integrate enterprise platforms and data sources, establish testing and monitoring practices, partner with stakeholders, and mentor engineers while driving technical strategy for enterprise AI adoption.

Designs and delivers foundational financial planning training for advisor teams, covering net worth reporting, cash flow analysis, investments, tax-aware planning, estate planning, and employee benefits. Creates practical curricula, case studies, and reference materials; collaborates with Product, Family Office, subject matter experts, and other stakeholders; and continuously improves training content to support advisor readiness, accuracy, consistency, and client service quality.

Build and manage relationships with high-net-worth individuals, families, family offices, and foundations. Source new business, support existing clients, develop customized investment strategies, create asset allocation recommendations, and provide holistic wealth advisory services. The role requires strong relationship management, business development, investment product knowledge, financial markets interest, Dutch and English fluency, and collaborative entrepreneurial skills.

Leads employee relations for Goldman Sachs, handling investigations, disciplinary actions, performance management, terminations, restructurings, severance, policy interpretation, training, and legal counsel coordination. Advises managers and employees on sensitive workplace issues, resolves conflicts, mitigates risk, and supports firm culture through empathetic, strategic, and commercially pragmatic solutions.

Develop and maintain analytical tools and software infrastructure for equity custom basket pricing, quoting, hedging, and risk management. Automate trading and sales processes, scale automated risk controls across Equity and FX exposures, and collaborate with traders, salespeople, quants, operations, and engineering teams to deliver accurate, robust solutions.

Design and build scalable Java/Spring microservices and production ETL pipelines (Spring Batch). Develop secure REST APIs, implement messaging/streaming (Kafka/RabbitMQ), optimize databases and queries, and maintain CI/CD and containerized deployments.

Lead backend engineering initiatives for Credit Technology: design and build trade capture/booking systems, data pipelines and ETL, re-engineer trade booking and ingestion platforms, collaborate with global engineering teams, and deliver scalable, low-latency solutions to support trading and sales workflows.

Serve as appointed DPO for Goldman Sachs EU entities in Frankfurt: liaise with German/EU supervisory authorities, advise business and engineering on privacy risk, conduct DPIAs, manage cross-border transfers, align privacy with financial regulations, develop privacy governance and training, and support policy and program implementation.

Lead assessment and management of distressed and defaulted credit positions across EMEA/APAC. Conduct in-depth credit and legal analysis, formulate workout and restructuring strategies, monitor Watch List performance, engage regulators/auditors, represent the firm with stakeholders, and mentor junior team members while coordinating with business units and control functions.

Manage accounting, finance, and treasury for SEC-registered mutual funds and ETFs. Oversee financial reporting, control frameworks, NAV accuracy, dividends, fee setting, and external accounting agents. Produce analyses and materials for senior management and Boards, partner with Technology on process improvements, and liaise with portfolio management, tax, legal, and sales on product development.