Data Scientist, Counterparty and Market Risk

Posted 2 days ago

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About the role

  • Data Scientist improving risk management and market risk for OTC derivatives trading desk. Collaborating with stakeholders to implement strategies and enhance analytical models.

Responsibilities

  • Help develop and maintain counterparty risk models (PFE, XVA, SA-CCR, etc.) and market risk models (VaR, stress tests, etc.)
  • Interact with the desks to review and improve model calculation parameters
  • Model financial products and evaluate pricing
  • Develop and analyze sensitivity metrics (Greeks)
  • Help develop and maintain the Adaptiv application and other IT tools used to monitor, model and manage interest rate risks
  • Collaborate with the capital team on regulatory CVA (BA-CVA, SA-CVA) and market risk capital (SA-FRTB)
  • Ensure ongoing compliance with regulatory requirements and governance documents for managing counterparty and issuer risk and for managing market risk
  • Monitor market developments and best practices for counterparty and market risk
  • Take part in continuous monitoring of compliance with AMF regulations for deposit-taking institutions
  • Contribute to internal and external risk reporting
  • Contribute to governance documents on counterparty, issuer and market risk
  • Participate in daily and monthly production by managing a large amount of data, as needed
  • Work with the internal analytics community to help it fulfill your role as a hub of data science expertise

Requirements

  • Bachelor's degree in a related field
  • A minimum of six years of relevant experience in financial risk management and data modelling for the finance sector
  • Experience with Adaptiv Credit Risk and Adaptiv Analytics
  • Experience in counterparty risk, market risk and market activity monitoring (middle office), including knowledge of XVA, PFE models, P&L attribution, sensitivity metrics (Greeks), value at risk (VaR) and stress tests
  • Experience with market risk / market activity monitoring software solutions
  • Experience in programming and analysis with Python, VBA and SQL
  • CFA, FRM or PRM certification underway or completed (preferred)
  • Knowledge of French is required
  • Proficiency in MS Office suite, mainly Excel
  • In-depth knowledge of financial derivatives and how they’re modelled
  • Knowledge of financial markets and derivatives
  • Knowledge of Basel regulations

Benefits

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

PythonSQLVBA

Location requirements

HybridMontrealCanada

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