Internal Audit-IA Data Strategy & Analytics-New York-Associate

Location: New York, NY, United States

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

• 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.

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.