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ALAlpiq AG

Quantitative Risk Manager(m/w/x)

Olten, Lausanne
Full-timeOn-siteExperienced
AI/ML
Data Science

Developing key risk indicators for energy transactions, incorporating price, volume, and non-linear effects. MSc/PhD in quantitative field and 2+ years in valuation/risk modeling required. 4-day work week, company car for private use.

Requirements

  • MSc. or Ph.D. in Mathematical Finance, Mathematics, or related quantitative field
  • At least 2 years of relevant experience in building valuation models, risk models, or quantitative frameworks
  • Strong knowledge of stochastic calculus
  • Experience in simulating price diffusions
  • Practical understanding of derivative pricing
  • Solid programming experience in Python, including Pandas and NumPy
  • Knowledge of relational database design, SQL and Oracle
  • Experience with GitLab or similar version control tools
  • Knowledge of power and gas markets and products, understanding of core risk management concepts (plus)
  • Experience with machine learning concepts (advantage)
  • Appreciation for working in a diverse team of risk managers

Tasks

  • Develop and advance key risk indicators for energy transactions
  • Incorporate price, volume, and non-linear effects into risk indicators
  • Implement mathematical and statistical models for non-linear risk measurement
  • Perform full revaluation to measure non-linear risks
  • Validate valuation models developed by the Front Office
  • Design and maintain consistent, correlated simulations of risk factors
  • Integrate key risk indicators and models into risk infrastructure
  • Collaborate with the team on conceptual and technical integration

Work Experience

  • 2 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Pandas
  • NumPy
  • SQL
  • Oracle
  • GitLab
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