SENIOR RISK ANALYST ASSET MANAGEMENT (462)

Our client is an Swiss Asset Management firm, looking for a Senior Risk Analyst.

Job description:

  • Design, develop, implement and maintain quantitative risk models, including VaR/CVaR, Monte Carlo simulations, stress testing, scenario analysis, factor models and cash-flow forecasting
  • Act as the primary technical and methodological reference for Risk Management’s analytical tools, including internally developed applications and third-party risk platforms
  • Develop methodologies to assess market, credit, liquidity, counterparty and other relevant investment risks across asset classes and strategies
  • Work closely with colleagues to translate investment-risk questions into statistical methodologies, investigate complex exposures and assess potential outcomes under alternative market conditions
  • Keep abreast with developments in statistical modelling, financial risk methodologies and analytical technology, identifying opportunities to strengthen the department’s capabilities

Required Profile:

  • A minimum of 5 years of relevant professional experience in financial engineering or model development, preferably within asset management, banking, hedge funds or another investment-focused environment
  • Advanced programming skills in Matlab and Python, including statistical libraries and experience developing reliable, maintainable analytical applications
  • Proficiency in SQL, data processing and database interaction
  • Demonstrated hands-on experience designing, implementing and maintaining statistical risk models used in a professional environment
  • Practical experience with financial risk methodologies, particularly VaR/CVaR, Monte Carlo methods, stochastic modelling, stress testing and scenario analysis
  • Experience working with professional risk-management systems, including model configuration, calibration, interpretation and critical assessment is a plus
  • Strong statistical and mathematical foundations, including probability theory, stochastic processes, time-series analysis, econometrics and numerical methods
  • Good command of statistical and finance concepts, financial risk measurement and the modelling of financial instruments and cash flows
  • Professional proficiency in English; French would be an asset

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