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2022-11-30

Quantitative Researcher - Model Driven Algorithmic Trading Technology

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Millennium Management
Quantitative Researcher - Model Driven Algorithmic Trading Technology
New York, US
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Job Description

Quantitative Researcher - Model Driven Algorithmic Trading Technology

MLP is seeking a senior quantitative researcher to help develop our algorithmic trading capabilities. The successful candidate will join a team that designs and develops solutions that trade financial instruments. This is a challenging role that requires an equal parts mix of technical and analytical skills, together with a practitioner's insight into electronic markets.

This new effort that the firm is undertaking, aims to provide customized algorithmic execution capabilities to our internal groups. Towards that goal, there will be opportunity to directly influence and optimize pnl company-wide, as well as take part in shaping and improving our trading technology and direction with highly visible positive impact.

Responsibilities:

  • Show a principled approach towards trading performance optimization

  • Critically evaluate existing solutions and apply ideas for improvement

  • Build predictive models and design experiments to validate hypothesis

  • Analyze structured and unstructured data sources to guide decision-making

  • Build research tools with reuse in mind

  • Produce correct, performant and maintainable code

Qualifications:

  • 5+ years experience

  • Programming in one of: C++, R, python

  • Bachelor's or higher degree, ideally on a STEM topic

  • Experience with statistical procedures that distinguish signal from noise

  • Experience with alpha research and evaluation techniques

  • Experience working with exchange tick data

  • Experience with at least one market: Equities, Futures, FX

  • Demonstrated creative solutions and curiosity

Desired:

  • Experience with low latency trading systems and C++

  • Experience with portfolio construction

  • Experience with statistical and machine learning models

  • Familiarity with kdb

  • Familiarity with Transaction Cost Analysis methods (TCA)

  • Knowledge of equity microstructure

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