Quantitative Developer

MPA Recruitment; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Global opportunities

Continuous learning

Job summary

MPA Recruitment in New York is seeking a Senior Quant Developer to join a global capital markets technology company on a hybrid basis. You will design and implement quantitative models for risk management and portfolio valuation, building sophisticated risk, hedging, and portfolio optimization tools.

Work closely with Core Engineering to deploy models into scalable production platforms and help modernise the risk technology architecture.

Qualifications

• Strong analytical and mathematical background with proven experience in quantitative modeling.
• Experience in capital markets, risk management, quantitative research or development.
• Ability to design and implement production-ready models and analytics.

Responsibilities

• Design, develop, and implement quantitative models for risk management and portfolio valuation.
• Build risk, hedging, and portfolio optimization tools for analytics across asset classes.
• Collaborate with Core Engineering to integrate models into scalable production platforms.
• Contribute to modernising risk technology architecture and analytics capabilities.
• Translate business requirements into robust quantitative solutions.
• Validate methodologies for accuracy and performance in production environments.
• Support evolution of risk metrics and portfolio analytics across multiple assets.

Education

Master's/PhD in quantitative field

Tools

C#

C++/Java

Job description

MPA has been retained by a global capital markets technology company to recruit a Sr Quant Deveoper in NY (hybrid). This company builds high-performance systems that power trading, risk and analytics for some of the world’s most demanding clients. Their expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms.

We are seeking an experienced Senior Quant Developer to join a growing Risk Technology team responsible for modernising and enhancing a critical risk management platform. The team is focused on expanding analytical capabilities, improving system stability and delivering sophisticated risk and portfolio analytics used across the business.

This is an excellent opportunity for a quantitative professional who enjoys developing practical analytical solutions to complex capital markets challenges while working closely with engineering teams to bring those solutions into production.

Key Responsibilities

• Design, develop, and implement quantitative models and analytics used within risk management and portfolio valuation systems.
• Build sophisticated risk, hedging, and portfolio optimisation tools, including analytics related to position management, hedge effectiveness, and optimal hedge sizing.
• Work closely with Core Engineering teams to integrate quantitative models into scalable production platforms.
• Contribute to the modernisation of the firm's risk technology architecture and analytical capabilities.
• Translate business requirements into robust quantitative solutions.
• Validate and enhance existing risk methodologies, ensuring accuracy, performance, and practical applicability.
• Support the evolution of risk metrics and portfolio analytics across multiple asset classes.
• Collaborate with stakeholders across Risk, Technology, and Front Office functions.

The successful candidate will be a senior quantitative professional who combines strong mathematical expertise with practical experience solving real-world capital markets problems. You will be comfortable working alongside software engineers, contributing quantitative insight while helping shape the next generation of risk technology capabilities.

You will have a track record of delivering impactful analytics in production environments and be able to quickly contribute to the ongoing transformation of a critical enterprise risk platform.

Qualifications

• Advanced degree (Master's or PhD preferred) in a quantitative discipline such as:
• Quantitative Finance
• Mathematics
• Statistics
• Physics
• Strong analytical and mathematical background with proven experience developing quantitative models.
• Significant industry experience within capital markets, risk management, quantitative research or quantitative development.
• Deep understanding of risk analytics, portfolio valuation and hedging methodologies.
• Ability to design and build models independently from concept through implementation.
• Strong communication skills and ability to collaborate effectively with both quantitative and engineering teams.
• Experience delivering business value quickly within complex financial environments.

Technical Skills

• C# preferred.
• Strong Java or C++ candidates will also be considered.
• Sufficient programming ability to implement and maintain quantitative models in production environments.
• Experience working with large-scale financial systems is advantageous.

Additional Information

Why Join?

• Hybrid & flexible working – balance your time between home and our global offices.
• Global opportunities – work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
• Continuous learning – day one access to paid training, certifications and leadership development.
• Clear progression pathways – biannual promotion cycles and monthly 1:1s to excel your career growth and development.
• Healthcare & wellbeing – provider dependent on region.
• Flexible, increasing holiday allowance – option to work bank holidays providing greater flexibility in holiday usage
• Generous referral bonuses, exciting social events and so much more – we work hard and celebrate harder.