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Quantitative Researcher – Options, Futures & Equities

Durlston Partners
Abu Dhabi, UAE
5 days ago
EquitiesFuturesOptionsQuantitativeResearcher
Free

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Overview

Alpha/Signal Generation, Discretionary Trading & Research, Systematic Trading & Research

Abu Dhabi, Dubai, Hong Kong, London, New York, Singapore, UK, USA

Quantitative Researcher – Options, Futures & Equities \| New York, London, Singapore, Shanghai, UAE

Not every research seat is created equal.

This one stands out.

A leading, technology driven trading firm is looking to hire experienced Quantitative Researchers across Options, Futures and Equities (D1), into an environment where researchers own problems end to end and work directly alongside traders.

This is not a support function.

Research here has a direct line to live trading and genuine commercial impact.

The role spans strategy development across pricing, modelling, forecasting and execution, working with large internal and external datasets in a computationally intensive setting.

The feedback loop is short, the problems are hard, and the people around you are among the best in the market.

What makes this particularly interesting is the breadth of backgrounds being considered.

Researchers coming from options volatility, delta one equities or futures trading are all in scope, and the firm has the depth and infrastructure to support researchers who want to grow into new areas.

Location

s span New York, London, Singapore, Shanghai and the UAE, giving candidates a degree of flexibility that is increasingly rare at firms of this calibre.

Compensation

  • is highly competitive, reflecting experience, track record and performance through the process.
  • You will have:
  • 3+ years of experience in quantitative research or systematic trading within Options, Futures or Delta One Equities
  • A strong track record on a high performing or market-leading trading desk
  • Deep grounding in mathematical, statistical and data-driven modelling
  • Hands-on experience taking research into production
  • Strong programming skills in Python and/or C++
  • Reach out confidentially at daniel@durlstonpartners.com.
  • All shortlisted candidates will hear back within five days.

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