Campbell North Ltd.
Lead Quantitative Developer - Statistical Arbitrage
Campbell North Ltd., New York, New York, us, 10261
I'm currently partnered with a highly successful systematic multi-strategy hedge fund that is looking to enter the mid-frequency quant equity markets as their next stage of growth. As such, a key early hire for this business is a
Quantitative Developer
to take ownership of and build out the systems for the full investment workflow, from research and analytics to live trading.
Since the role involves a complete build-out of the systems from the ground up, the firm is seeking a candidate with
holistic experience in building research systems .
Ideal Candidate Profile:
BS/MS in Computer Science, Engineering, Mathematics, Physics, or related fields.
Advanced proficiency in Python, with experience in modern data science tools. Familiarity with C++, R, and web frameworks (Node.js, React, etc.) is a plus.
3+ years in the financial industry in a quantitative or technical role, preferably working closely with investment teams.
Experience with large-scale financial datasets, high-performance research workflows, and live trading systems.
Ability to interface effectively with investment professionals.
Excellent problem-solving skills with a clear understanding of the business value derived from technical solutions.
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Quantitative Developer
to take ownership of and build out the systems for the full investment workflow, from research and analytics to live trading.
Since the role involves a complete build-out of the systems from the ground up, the firm is seeking a candidate with
holistic experience in building research systems .
Ideal Candidate Profile:
BS/MS in Computer Science, Engineering, Mathematics, Physics, or related fields.
Advanced proficiency in Python, with experience in modern data science tools. Familiarity with C++, R, and web frameworks (Node.js, React, etc.) is a plus.
3+ years in the financial industry in a quantitative or technical role, preferably working closely with investment teams.
Experience with large-scale financial datasets, high-performance research workflows, and live trading systems.
Ability to interface effectively with investment professionals.
Excellent problem-solving skills with a clear understanding of the business value derived from technical solutions.
#J-18808-Ljbffr