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Quant Developer (Python/R) - Equity Models- Global Hedge Fund

Oxford Knight
London
1 year ago
Applications closed

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Machine Learning Quant Engineer - Investment banking/ XVA

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Machine Learning Quant Engineer - Investment banking/ XVA

Data Scientist / Quant Engineer

Salary:up to ~£250k annual TC

Experience:Minimum 5 years; also open to more senior candidates.

Fabulous opportunity for a talented QD to join one of the world's most prestigious and successful hedge funds. Looking for an experienced engineer with a solid programming background in Python and/or R and outstanding communication skills, comfortable facing off to the business and liaising directly with Portfolio Managers and traders.

This role is focused primarily on the design and development of equity portfolio analytics frameworks, including MSCI Barra equity factor risk models. Working closely with the portfolio research team, you'll build the necessary infrastructure for optimal extraction, transformation and loading of data from multiple sources using SQL and 'big data' technologies. Identifying improvements and designing solutions - automation, optimization, greater scalability - is second nature to you.

Skills and Experience Required

  • 5+ years' professional development experience in a buy-side or sell-side firm
  • Exceptional Python and/or R programming skills
  • Strong working knowledge of software design (algorithms and object-oriented design)
  • Excellent communication skills at all levels of technical ability


Desirable:

  • Experience with Barra and proprietary risk models beneficial
  • Advanced working knowledge of SQL
  • Experience with 'big data' analytics engines, e.g. Apache Spark
  • Equities markets experience would be ideal


Benefits & Incentives

  • Strong salary + bonuses
  • Collaborative culture and an exciting place to work
  • Generous benefits package



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