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Location: New York
A leading systematic hedge fund, investing across a variety of financial markets in multiple locations, my client is seeking a creative problem-solver to be the next Quant Developer in their growing Research Engineering team.
This team is comprised of technical and hands-on builders, each wearing multiple hats, and in this role you’ll be expected to do the same. Working very closely with Researchers and PMs on the team, your primary focus will be building from scratch performance attribution systems and portfolio analytics to monitor various live trading strategies. You’ll also build out data pipelines to collecting new alternative datasets, automate research workflows, and manage and scale core components of research infrastructure.
The successful Quant Developer will have a strong work ethic and a good sense of accountability.
Requirements
- Minimum 2+ years of Quant Developer experience (or similar position)
- Strong coding experience in Python and C++, with outstanding debugging and analytical skills
- Experience with Python data science stack, e.g. Pandas/Numpy/Scikit-learn
- Keen proponent of writing automated tests
- BS/MS/PhD in Computer Science (or equivalent)
- Must have US Citizenship or valid H1B Visa
Benefits
- Competitive base salaries and performance-based bonuses
- Very collaborative culture, ideas are implemented
- Work with passionate, forward-thinking, incredibly smart people
Contact
If you feel you’re a strong candidate for this role and would like further info, please contact:
Adam Pearce
[email protected]
+1 929-209-9727
linkedin.com/in/adam-pearce-a1390b173
