We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)
Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives.
The Specialized Portfolio Manager Opportunity:
Transparent and formula-based compensation
Opportunities to contribute to other research and strategy initiatives
Access to our alpha pool, portfolio management tools and innovative technology platforms
Access to a deep and broad menu of datasets supported by a dedicated data team
Cross-asset execution led by a multi-regional trading team
Participation in internal research conferences and forums
Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
Access to AI and Machine Learning opportunities applied to financial markets.
Requirements: 2+ years experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience
Strong programming skills in mainstream quant programming languages, such as Python and C++
Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
This position is open to all candidates.