Quant Developer (Python/R) - Equity Models- Global Hedge Fund
Oxford Knight London, Vereinigtes KönigreichQuant Developer (Python/R) - Equity Models- Global Hedge Fund
Oxford Knight London, Vereinigtes Königreich
Quant Developer (Python/R) - Equity Models
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
Desirable:
Benefits & Incentives
Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch:
Richard Allan
richard.allan@oxfordknight.co.uk
+44 (0) 20 3137 9574
linkedin.com/in/richardallanok/
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
Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch:
Richard Allan
richard.allan@oxfordknight.co.uk
+44 (0) 20 3137 9574
linkedin.com/in/richardallanok/
Job ID ksVVKKAX1j2w
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