Member of Global Risk Management, Quantitative Financial Risk

You will design, build, and maintain quantitative analysis tools to assess credit, market, and liquidity risk. You will build scalable Python analytics pipelines to automate reporting and enable real-time risk monitoring. You will run portfolio margin stress tests and scenario analysis under tight timelines, translate complex quantitative results into clear insights for stakeholders, and perform ad-hoc real-time analysis when the business needs answers fast. You will collaborate with trading, sales, compliance, treasury, and operations, mentor junior colleagues, and take ownership of delivering production-ready analytics and dashboards.

Responsibilities

• Design, build, and maintain quantitative analysis tools for credit market and liquidity risk assessment
• Build scalable analytics pipelines in Python to automate reporting and data transformation
• Implement real-time risk monitoring and dashboards
• Execute portfolio margin stress tests and scenario analysis under tight timelines
• Lead end-to-end development of quantitative tools from problem definition through production deployment
• Run ad-hoc real-time analysis to answer urgent business questions
• Navigate ambiguous risk problems and select appropriate quantitative methods
• Break down large projects into manageable workstreams and deliver on commitments
• Collaborate with Trading Sales Compliance Treasury and Operations to embed risk analysis in business decisions
• Monitor industry trends regulatory developments and emerging best practices in quantitative risk management
• Translate complex quantitative concepts into clear actionable insights for technical and non-technical audiences
• Mentor junior team members on quantitative methods and analytics tooling

Requirements

• 8+ years of experience in quantitative finance financial risk management or related quantitative discipline
• Advanced degree (Master's or PhD) in a quantitative field
• Proven track record of building quantitative analysis tools for credit market and liquidity risk
• Deep expertise in risk monitoring and reporting including building or operating real-time risk dashboards and producing executive-level risk reports
• Experience with portfolio stress testing and scenario analysis in a professional setting
• Experience working with large datasets and analytical tools to support risk analysis
• Experience with regulators and regulatory exams
• Ability to drive initiatives independently proactively identify and solve problems and take accountability for results
• Strong curiosity and ability to dig into data to find actionable insights