Counterparty Credit Risk Quant Technology Lead (Python/C++)

About the role

This role sits at the intersection of Trading, Quantitative Research, Risk Management, and Technology, delivering the infrastructure and analytics that power pricing, valuation, and risk management across global commodities markets.

What you'll do

• Lead the design, development, and delivery of strategic quantitative analytics platforms supporting Commodities pricing and risk management
• Develop and enhance high-performance analytics libraries using Python and C++ for valuation, sensitivities, scenario analysis, and risk calculations
• Partner closely with Front Office Quants and Trading teams to integrate new pricing models and quantitative methodologies into production systems
• Drive performance optimization efforts for large-scale analytics and computationally intensive pricing workflows

What you need

• Credit risk
• C++
• Python
• Valuation
• Risk management
• Any graduate