Lead Quantitative Analyst - Interest Rates

Radley James; New York (NY); Hybrid; USD 200,000 - 320,000; Full time

Job summary

Radley James is seeking a Senior/Lead Rates Quant Analyst based in New York to join a top multi-strategy investment manager. The role blends quantitative research, model development, and analytics for Rates trading and risk management.

You will collaborate with trading, risk, and engineering teams to advance modelling approaches and analytics, delivering production-ready solutions. 10+ years in Rates Quant, strong Python and C++ skills, and a track record of independent delivery are essential.

Qualifications

• 10+ years of experience in a Rates Quant role, with research, modelling, and analytics for trading and risk.
• Proven ability to deliver quantitative projects in a fast-paced buy-side environment.
• Strong Python and C++ programming skills with production-level implementation experience.
• Excellent communication and leadership to mentor junior analysts.

Responsibilities

• Take ownership of rate quant research and model development from concept to production.
• Collaborate with trading, risk, and engineering to align analytics with business needs.
• Translate complex questions into rigorous quantitative analyses and solutions.
• Design and implement models in Python and C++ for pricing and risk management.
• Coordinate with teams to integrate models into broader trading infrastructure.
• Contribute as a senior quantitative contributor and mentor within the team.

Skills

Python

C++

Quant research

Trading systems

Tools

Linux

Job description

Top multi-strategy investment manager is looking to hire a talented Senior/Lead Rates Quant Analyst based in New York.

The role combines quantitative research, model development, and analytics supporting Rates trading and risk management. The successful candidate will work closely with trading, risk, and engineering teams to develop quantitative models and analytics supporting trading and risk workflows. This role offers significant opportunity to influence modelling approaches and contribute to the evolution of the firm’s quantitative research capabilities. You will report straight into the firms Head of Quant Strategies.

What you’ll do:

• Take ownership of research and model development initiatives from idea generation through production implementation, delivering analytics that support trading and risk management decisions
• Partner closely with portfolio managers, trading teams, and risk teams to understand trading, portfolio, and risk management objectives and help define quantitative priorities
• Translate complex trading and risk questions into rigorous quantitative analysis and practical solutions
• Design and develop quantitative models and analytics in Python and C++ to support trading, pricing, and risk management decisions
• Work across research and quant engineering teams to integrate models and analytics into the broader trading and risk environment
• Act as a senior quantitative contributor and mentor within the quant team, contributing to team development and strong quantitative development standards

What we’re looking for:

• 10+ years of experience in a Rates Quant role with strong research, modelling, and analytical expertise, ideally from a buy-side environment.
• Proven track record of independently delivering quantitative projects and research in a fast-paced investment environment
• Strong programming skills in Python and C++ with experience implementing quantitative models and analytics in a production trading environment
• Strong ownership mindset, with the ability to take on complex technical initiatives and drive workstreams to completion
• Ability to lead quantitative initiatives and influence modelling decisions across trading and risk workflows
• Strong problem-solving and communication abilities, with the ability to work effectively across technical and front-office teams
• Experience mentoring junior quantitative analysts or coordinating project delivery within collaborative teams

Compensation is unprecedented and dependent on experience. This is a full-time hybrid position based in NYC.