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Senior Quant Developer (Risk & Data) - Systematic Hedge Fund

  • Senior Quant Developer (Risk & Data) - Systematic Hedge Fund job type Posted on: Nov 07, 2026
  • Senior Quant Developer (Risk & Data) - Systematic Hedge Fund experience level Radley James
  • Senior Quant Developer (Risk & Data) - Systematic Hedge Fund employment type New York City Metropolitan Area, New York
  • Senior Quant Developer (Risk & Data) - Systematic Hedge Fund employment type Onsite
  • Senior Quant Developer (Risk & Data) - Systematic Hedge Fund salary Full-time

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Job Title :

Senior Quant Developer (Risk & Data) - Systematic Hedge Fund

Job Type :

Full-Time

Job Location :

New York City Metropolitan Area New York United States

Remote :

No

Jobcon Logo Job Description :

Senior Quantitative Developer (Risk & Data Platforms) – New YorkA leading global systematic trading fund is expanding its Quant Engineering team in New York and is seeking an experienced Senior Quantitative Developer to help drive the evolution of its risk and data platform capabilities.You will play a key role in developing next-generation risk models, enhancing scenario and risk analytics infrastructure, and contributing to critical data platforms that support the firm's trading and investment activities.Key Responsibilities:Productionise quantitative research models and integrate them into the firm's risk engine.Design and develop new risk models, analytics, and functionality for the risk and scenario engines.Enhance research tools and quantitative libraries, including backtesting frameworks, option pricing models, and analytics platforms.Build APIs and services that deliver customised analytics to internal stakeholders and external clients.Maintain, optimise, and support the firm's risk and scenario engines.Contribute to the development of core data platforms, including position aggregation, pricing infrastructure, and reference data services.Qualifications:Bachelor's degree or higher in Computer Science, Mathematics, or related technical field8+ years of quantitative software engineering or quantitative development experience within leading financial institutions, hedge funds, or proprietary trading firms.Expert-level Python development skills.Proven experience designing and building large-scale, high-performance systems.Strong understanding of risk, prime brokerage, treasury, or related front-office technology functions.This opportunity offers a highly competitive compensation package and hybrid working model.

Jobcon Logo Position Details

Posted:

Nov 07, 2026

Reference Number:

10440_4422984875

Employment:

Full-time

City:

New York City Metropolitan Area

Job Origin:

APPCAST_CPC

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Senior Quantitative Developer (Risk & Data Platforms) – New YorkA leading global systematic trading fund is expanding its Quant Engineering team in New York and is seeking an experienced Senior Quantitative Developer to help drive the evolution of its risk and data platform capabilities.You will play a key role in developing next-generation risk models, enhancing scenario and risk analytics infrastructure, and contributing to critical data platforms that support the firm's trading and investment activities.Key Responsibilities:Productionise quantitative research models and integrate them into the firm's risk engine.Design and develop new risk models, analytics, and functionality for the risk and scenario engines.Enhance research tools and quantitative libraries, including backtesting frameworks, option pricing models, and analytics platforms.Build APIs and services that deliver customised analytics to internal stakeholders and external clients.Maintain, optimise, and support the firm's risk and scenario engines.Contribute to the development of core data platforms, including position aggregation, pricing infrastructure, and reference data services.Qualifications:Bachelor's degree or higher in Computer Science, Mathematics, or related technical field8+ years of quantitative software engineering or quantitative development experience within leading financial institutions, hedge funds, or proprietary trading firms.Expert-level Python development skills.Proven experience designing and building large-scale, high-performance systems.Strong understanding of risk, prime brokerage, treasury, or related front-office technology functions.This opportunity offers a highly competitive compensation package and hybrid working model.

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