WHAT WE DO
Internal Audit’s mission is to independently assess the firm’s internal control structure, including governance processes and controls, risk management, capital and anti-financial crime frameworks. Internal Audit communicates on the effectiveness of governance, risk management and controls, raises awareness of control risk, assesses control culture and conduct risk, and monitors management’s implementation of control measures. Data Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work.About the Role
We are looking for a hands‑on Full Stack Data Analyst to join our Internal Audit Data Analytics team supporting the Internal Audit Division. In this role you will design, build, and ship analytical applications end‑to‑end — from data models and Python services through to modern React front‑ends — that directly enable audit teams to work smarter and make better‑informed, data‑driven decisions.
This is a high‑impact, high‑visibility role for an engineer who enjoys owning features from concept to production, working in a fast‑paced Agile environment
What You'll Do
- Design, develop, test, and maintain Python-based applications, services, and automation that power analytical and audit workflows.
- Build and expose well-documented, secure RESTful APIs (Flask or similar frameworks) that serve data to internal applications and downstream consumers.
- Develop responsive, intuitive user interfaces using React and JavaScript, translating business requirements and wireframes into production-grade components.
- Design and refine data models — logical and physical — and write efficient SQL to support reporting, analytics, and application needs.
- Manage source control, code reviews, and automated build/test/deploy workflows in GitLab, contributing to and improving CI/CD pipelines.
- Package and deploy applications to containerized environments, working with the platform team to promote code across environments reliably and repeatably.
- Champion engineering quality through unit tests, integration tests, and Test-Driven Development (TDD).
- Partner closely with product owners, and audit stakeholders in a global, distributed Agile/Scrum setting to deliver iteratively.
- Proactively identify opportunities to improve performance, reliability, maintainability, and developer experience.
Required Qualifications
AreaRequirement
Education
Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline
Overall Experience
3–5 years of professional software engineer experience
Python
3–5 years of strong, hands-on Python development experience building production applications
and exposure to data analytics tooling (pandas, NumPy)
Front-End
1–2 years of hands-on experience building UIs with React and modern JavaScript
SQL & Data Modelling
Solid SQL skills and a good understanding of data modelling concepts — normalization,
relational/dimensional design, schema evolution, and query performance
Version Control & DevOps
Hands-on experience with GitLab and strong grasp of core Git concepts (branching strategies,
merge requests, rebasing, conflict resolution) plus practical exposure to CI/CD pipelines
Testing
Demonstrated experience implementing unit tests, integration tests, and applying
Test-Driven Development
Ways of Working
Proven track record operating in a fast-paced Agile/Scrum setup with a global/remote team
Preferred / Good to Have
- Experience designing and developing Flask-based REST APIs (or FastAPI/Django REST Framework).
- Working knowledge of deploying code to a Kubernetes cluster — building container images, writing/maintaining deployment manifests or Helm charts, and troubleshooting pods, services, and rollouts.
- Experience with containerization using Docker and automating deployments through CI/CD pipelines.
- Familiarity with API design best practices — versioning, authentication/authorization, pagination, error handling, and OpenAPI/Swagger documentation.
- Understanding of cloud platforms such as Snowflake.
Prior experience in financial services, risk, or Internal Audit domains.
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 with offices around the world. We believe who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion in our workplace and to providing opportunities for professional and personal growth. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Position-description note: This document describes the duties most frequently performed at this position level and is not intended to be a complete list of assigned duties. The role is performed within a professional office environment. Applicable health and safety policies are available to workers upon request.
