Quantitative Developer: Derivatives Risk & IMM Analytics

Talensa; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Talensa in New York is seeking an Associate Director level Quantitative Developer to join the team responsible for maintaining and enhancing the Initial Margin Model (IMM) and related analytics infrastructure.

You will combine quantitative expertise with strong programming skills to deliver robust, efficient, and scalable margin calculation and risk analytics solutions, collaborating with risk managers, quants, and technology teams.

Qualifications

• Master’s degree in mathematics, physics, computer science, or a related quantitative discipline.
• Experience in quantitative development within financial services.
• Experience in risk management, derivatives risk / margin calculation, or analytics is highly desirable.
• Experience working within a consulting firm, or at a sell-side / buy-side financial institution.

Responsibilities

• Develop and maintain quantitative libraries for risk calculations, including risk weights, correlations, and historical volatility ratios.
• Implement and optimize IMM methodology within proprietary and vendor platforms.
• Collect, validate, and aggregate market and risk data from multiple sources.
• Develop and maintain backtesting, benchmarking and performance monitoring frameworks to validate IMM performance against historical P&L vectors.
• Build and enhance analytics platforms to support IMM processes and parameter recalibration.
• Collaborate with quantitative analysts, risk managers, and technology teams to ensure alignment, efficiency and enhancements for future processes.

Skills

Python

C++

Java

Pandas

NumPy

SQL

Education

Master’s degree in Mathematics, Physics, Computer Science, or related quantitative discipline

Tools

Git

Job description

Talensa in New York is seeking an Associate Director level Quantitative Developer to join the team responsible for maintaining and enhancing the Initial Margin Model (IMM) and related analytics infrastructure.

You will combine quantitative expertise with strong programming skills to deliver robust, efficient, and scalable margin calculation and risk analytics solutions, collaborating with risk managers, quants, and technology teams.