Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape the data landscape of a leading hedge fund, working on a major system transformation and developing cutting-edge data modelling skills. You'll thrive here if you have a strong background in financial markets data and enjoy translating complex requirements into robust data solutions. Apply now to make a significant impact!
Quick Overview
Job Description
Senior Data BA / Data Modeller
We are working with a hedge fund technology business looking for a Senior Data BA / Data Modeller to support a major transformation of its Portfolio Management System and underlying data estate.
This is a technical BA role, focused on understanding complex legacy financial datasets, modelling and mapping data, and supporting migration into Snowflake.
Key Responsibilities
- Analyse and document complex financial markets datasets, including trade, position, pricing and reference data.
- Acting as the interface between Front Office users and Data Engineering
- Work dataset-by-dataset and field-by-field to understand existing data structures and relationships.
- Analyse data supporting option curves, including the inputs and structures used for pricing and valuation.
- Define data models and source-to-target mappings for migration into Snowflake.
- Translate financial product and business requirements into data requirements.
- Work closely with data engineers, architects, traders and portfolio managers.
- Design data structures suitable for both internal users and external hedge fund clients.
- Identify data quality issues and dependencies across legacy datasets.
Experience Required
- Strong Data BA / Data Modelling experience within financial markets.
- Strong understanding of derivatives and financial products, particularly options and swaps.
- Understanding of how option curves are constructed, including the underlying market data, pricing inputs and data structures.
- Good understanding of how swaps work, their lifecycle and the data required to represent them.
- Experience with data mapping, modelling and migration across complex financial datasets.
- Strong SQL and ability to interrogate data at a field level.
- Snowflake experience desirable
- Comfortable working directly with traders, portfolio managers and technical teams.
- Hedge fund, asset management or investment banking experience highly desirable.
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