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FIS Quantum Business Analyst - EPAM Systems
Data Analyst
Lead the design and delivery of data‑driven solutions for financial services, leveraging Python, SQL, and AWS to build predictive models and dashboards that empower investment banks to manage risk and uncover insights.
About the role
Key Responsibilities
- Architect and develop end‑to‑end data pipelines using Python and SQL to ingest, cleanse, and transform large financial datasets.
- Build and deploy machine learning models on AWS services (SageMaker, Lambda) to forecast market trends and assess risk.
- Collaborate with product owners and stakeholders to translate business requirements into technical specifications and actionable insights.
- Design interactive dashboards and visualizations that enable clients to monitor key performance indicators in real time.
- Implement CI/CD practices and maintain robust documentation to ensure high quality and reproducibility of analytical workflows.
Requirements
- 5+ years of experience in data engineering or analytics within the financial services sector.
- Proficiency in Python, SQL, and experience with AWS cloud services.
- Strong background in machine learning, statistical modeling, and financial risk analysis.
- Excellent communication skills and ability to work in an Agile environment.
- Experience with version control (Git) and CI/CD pipelines is a plus.
Skills
pythonsqldata analysismachine learningawsagile