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3-months assignment - Risk Management Consultant

  • On-site, Hybrid
    • Geneve, Genève, Switzerland
  • External Placement

Job description

For one of our client, a consulting firm, we are looking for a Risk Management Consultant to support their ongoing projects.

Key Responsibilities:

  • Conduct assessments of existing risk management frameworks and identify areas for improvement.

  • Support clients in designing, implementing, and optimizing risk methodologies, processes, and governance frameworks.

  • Contribute to market risk model development and calibration (VaR, sensitivities, stress testing, backtesting).

  • Assist in the implementation and enhancement of pricing and risk measurement tools.

  • Work on credit risk modelling activities (PD/LGD/EAD models, scoring, stress testing) and support regulatory or IFRS 9 initiatives.

  • Perform portfolio analyses including concentrations, limits, and risk appetite frameworks.

  • Develop liquidity risk metrics (LCR, NSFR), conduct liquidity stress testing, and support liquidity monitoring frameworks.

  • Participate in ALM analyses: interest rate risk (IRRBB), balance sheet projections, NII simulations, and gap analysis.

  • Contribute to the deployment or enhancement of ALM and risk systems (e.g., QRM, Moody’s Analytics, Murex).

  • Support regulatory compliance projects (Basel III/IV, CRR/CRD, ILAAP, ICAAP, EMIR, Solvency II).

  • Produce project documentation (requirements, specifications, test plans) and coordinate stakeholders.

  • Deliver training and change management support to risk, finance, and ALM teams.

  • Maintain ongoing awareness of regulatory developments and innovations in risk analytics and data

Job requirements

  • Master’s degree from an engineering school, business school, or university with a focus on finance, risk management, or quantitative methods.

  • Solid understanding of financial risks: market, credit, liquidity, and ALM.

  • Strong analytical and quantitative skills; familiarity with statistical and modelling techniques.

  • Knowledge of financial products and market mechanisms.

  • Experience with risk or ALM tools (e.g., Murex, Summit, QRM, Moody’s Analytics) is a strong asset.

  • Proficiency in data and modelling tools (Python, R, SQL, VBA, Matlab) is a plus.

  • Excellent communication, writing, and client-facing skills.

  • Ability to work independently, manage multiple tasks, and operate in cross-functional teams.

  • Fluent in English and French, additional languages are a plus

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