First Derivative is driven by people, data, and technology, unlocking the value of insight, hindsight, and foresight to drive organizations forward. Counting many of the world’s leading investment banks as clients, we help our clients navigate the data-driven, digital revolution that is transforming the financial services sector. Our global teams span across 15 offices serving clients across EMEA, North America and APAC.
As an EPAM Systems, Inc. (NYSE: EPAM) company, a leading global provider of digital platform engineering and development services, we deliver advanced financial services solutions by empowering operational insights, driving innovation, and enabling more effective risk management in an increasingly data-centric world. Together with EPAM, we combine deep industry expertise with cutting-edge technology to help clients stay ahead in a rapidly evolving financial landscape, offering comprehensive solutions that drive business transformation and sustainable growth.
We are searching for a highly analytical Business Analyst with a strong understanding of financial market data (e.g., reference data, counterparty data, instrument data) to serve as a critical bridge between stakeholders and technical teams. You’ll define requirements and ensure the data lake aligns with business objectives.

REQUIREMENTS

• 2+ years of experience in Business Analysis
• Strong domain knowledge of financial data like reference data, counterparty data, and market instruments
• Proven experience working on data-centric projects, ideally data modernization
• Ability to create clear technical documentation such as user stories and system requirements
• Strong collaboration skills with technical teams and non-technical stakeholders

• Gather, document, and analyze requirements for the data modernization project
• Collaborate with developers to map business needs to technical solutions (ingestion, transformation, reporting)
• Provide domain expertise in financial data, ensuring strategic datasets are integrated correctly
• Create workflows, use cases, and documentation for all stages of the data project lifecycle
• Validate output data models and workflows against business expectations