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