Lead Data & Business Analyst (VP), Large Credit Hedge Fund, London

Ref: DL-0911
Up to £250k Total + Benefits
Large Credit Hedge Fund
Direct Lending, Structured Credit/CLOs, Loans, Loan channels, Reporting, SQL, Python

This truly outstanding alternative asset manager has nearly $80 billion across a range of Structured Credit, CLOs, Loans, High Yield, etc., They seek a Data & Business Analyst to report to the UK Head of Portfolio Analytics and drive the design, development, implementation of data, platforms, processes, & reporting across the Firm.

In addition to your strong data architecture/coding expertise you’ll need the soft skills to “sell” changes & articulate the impact of technology on the business. An ability to simplify the world of data/technology and articulate the path to non-technical people throughout the firm will be invaluable.


  • Collaborate with colleagues to understand pain points and identify areas of improvement.
  • Analyse current business processes, and data models/sources to provide strategic guidance.
  • Assist in a firmwide effort to update & optimize current data architecture and infrastructure.
  • Assess and evaluate potential systems/platforms to determine relevance for current processes.
  • Drive the development of an automated, dynamic, and self-service reporting environment.
  • Lead the implementation of new platforms, processes, and reporting.
  • Gather business requirements for initiatives, analyse output to ensure data integrity.


  • 6-8 years financial services (Alternatives is preferred, but not required).
  • Data analytics, Business intelligence applications (Alteryx, Tableau and Python preferred)
  • Background in Credit focused assets: e.g. Direct Lending, Structured Credit, Loans (Also PE)
  • Experience with data/system migration, database administration, and large data sets (SQL, Python).
  • A “Data Junkie” with an obsession for finding correct answers and optimal solutions.
  • Project Management, System Implementations
  • Investment performance a plus; attribution, P&L calculations, FX analysis etc.
  • Debt instruments a plus (inc. bank debt, bonds, equity, & derivative), preferably in a hedge fund or PE
  • Masters in scientific discipline from a top university