Quant Risk Developer - Financial Engineering

The Role: We are looking for a Quantitative Developer to join our team responsible for maintaining and enhancing the ISDA Standard Initial Margin Model (SIMM) and related analytics infrastructure. This role combines quantitative expertise with strong programming skills to deliver robust, efficient, and scalable solutions for margin calculation and risk analytics. Key Responsibilities:  Develop and maintain quantitative libraries for risk calculations, including risk weights, correlations, and historical volatility ratios.  Implement and optimize SIMM 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 SIMM performance against historical P&L vectors.  Build and enhance analytics platforms to support SIMM processes and parameter recalibration.  Collaborate with quantitative analysts, risk managers, and technology teams to ensure alignment and efficiency.  Work closely with SIMM team members and ISDA colleagues to enhance the quality and efficiency of SIMM-related processes.  Strong programming skills in Python (mandatory), with experience in C++, Java, or similar languages.  Proficiency in data handling and analysis using Pandas, NumPy, and SQL.  Familiarity with cloud-based solutions and version control (Git).  Solid understanding of risk modeling, margin methodologies, and derivatives pricing.  Knowledge of regulatory frameworks such as BCBS-IOSCO margin requirements and Standardized approach for regulatory capital (FRTB-SBA).  Results-Oriented: Demonstrates a proactive and solution-focused approach to problem-solving  Organized and Efficient: Maintains high levels of productivity through structured and methodical work habits.  Innovative and Adaptable: Shows creativity in overcoming challenges and flexibility in dynamic environments.  Receptive to Feedback: Open to coaching and continuous improvement.  Master’s degree (or equivalent) in Mathematics, Physics, Computer Science, or a related quantitative discipline.  At least 5 years of experience in quantitative development within financial services.  Prior experience in risk management, margin calculation, or derivatives analytics is highly desirable.  Prior experience working within a consulting firm, or at a sell-side or buy-side financial institution.  Demonstrated involvement in initial margin implementation programmes.