McGregor Boyall
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Role:
Quantitative Researcher (Credit, Bonds, Equities, Rates)
Location:
New York
Travel:
Hybrid
Overview A leading global quantitative investment manager is seeking a skilled
Quantitative Researcher (Python)
to join their
New York
team. You will work as a desk-facing developer within global multi-asset arbitrage operations in a dynamic, evolving environment. The role requires strong technical expertise, the ability to collaborate across trading teams, and a proactive approach to problem-solving and project delivery.
Responsibilities
Provide direct technical support to systematic trading desks.
Develop, optimize, and maintain Python-based trading and research tools.
Build valuation tools and screeners to enhance trading and idea filtration.
Test and implement trading strategies, performing ad hoc research and analysis.
Collaborate with traders, researchers, and developers to integrate vendor models and datasets.
Contribute to the buildout of systematic credit, convertible bonds, and securitized products analytics.
Identify opportunities to automate manual processes and improve efficiency.
Experience
Advanced Python programming expertise (required); C++ experience a plus.
Proven experience as a researcher or developer within a quant group at a hedge fund or investment bank.
Experience with alpha research, signal generation, or building trading tools is highly desirable.
Excellent organizational skills; able to manage multiple concurrent projects and shifting priorities.
Strong written and verbal communication, with the ability to document models and tools effectively.
Compensation Salary and benefits are highly competitive.
Seniority level Mid-Senior level
Employment type Full-time
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Role:
Quantitative Researcher (Credit, Bonds, Equities, Rates)
Location:
New York
Travel:
Hybrid
Overview A leading global quantitative investment manager is seeking a skilled
Quantitative Researcher (Python)
to join their
New York
team. You will work as a desk-facing developer within global multi-asset arbitrage operations in a dynamic, evolving environment. The role requires strong technical expertise, the ability to collaborate across trading teams, and a proactive approach to problem-solving and project delivery.
Responsibilities
Provide direct technical support to systematic trading desks.
Develop, optimize, and maintain Python-based trading and research tools.
Build valuation tools and screeners to enhance trading and idea filtration.
Test and implement trading strategies, performing ad hoc research and analysis.
Collaborate with traders, researchers, and developers to integrate vendor models and datasets.
Contribute to the buildout of systematic credit, convertible bonds, and securitized products analytics.
Identify opportunities to automate manual processes and improve efficiency.
Experience
Advanced Python programming expertise (required); C++ experience a plus.
Proven experience as a researcher or developer within a quant group at a hedge fund or investment bank.
Experience with alpha research, signal generation, or building trading tools is highly desirable.
Excellent organizational skills; able to manage multiple concurrent projects and shifting priorities.
Strong written and verbal communication, with the ability to document models and tools effectively.
Compensation Salary and benefits are highly competitive.
Seniority level Mid-Senior level
Employment type Full-time
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