Data BA / Modeller - Hedge Fund - London - Investigo
  • England,London,City of London
  • Full Time, Permanent
  • Competitive salary
Job Description:
Full 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.
Job number 4179233
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