Quantitative Market Risk Models Consultant
@ Deloitte

Toronto, ON
CA$105,000
On Site
Full Time
Posted 23 hours ago

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Job Details

About Deloitte

At Deloitte, our purpose is to make an impact that matters by inspiring and helping people, organizations, and communities to thrive. As the largest 100% Canadian-owned and operated professional services firm, we work with our clients to build a better future for Canadians.

Role Overview

This role supports financial services industry clients with quantitative challenges in Capital Markets and Market Risk. You will develop, validate, and review models such as Financial Derivatives Pricing, VaR, Counterparty Credit Risk, XVA, FRTB, IBOR Transition and CCAR models. You may also engage in credit modeling, forecasting, stress testing, and emerging areas like Machine Learning and Artificial Intelligence.

Key Responsibilities

  • Develop and validate market risk models.
  • Conduct independent derivative valuation and financial analysis.
  • Utilize programming skills in Python, MATLAB, C++, C#, and Visual Basic.
  • Apply quantitative methodologies including VaR, FRTB, CCR, and XVA.
  • Collaborate with Deloitte's global experts to deliver tailored solutions.

Team & Growth Opportunity

Join a high-profile, high-impact Risk, Regulatory & Forensics team where you will work alongside industry experts. At Deloitte, you are provided with on-the-job coaching, mentoring, competitive total rewards, and flexible work arrangements while advancing your career.

Key skills/competency

  • Quantitative Analysis
  • Market Risk
  • Capital Markets
  • Financial Derivatives
  • Model Development
  • Model Validation
  • Programming
  • Machine Learning
  • Stress Testing
  • Risk Methodologies

How to Get Hired at Deloitte

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to market risk models.
  • Highlight technical expertise: Emphasize quantitative and programming skills.
  • Research Deloitte culture: Review mission and recent projects.
  • Prepare for quantitative interviews: Practice modeling case studies.

📝 Interview Preparation Advice

Technical Preparation

Review financial derivatives pricing methods.
Practice Python and MATLAB coding challenges.
Study VaR, FRTB, XVA methodologies.
Simulate model validations and calibrations.

Behavioral Questions

Describe a time you solved a complex problem.
Explain teamwork in high-pressure projects.
Discuss handling feedback during projects.
Share experiences with innovative idea implementation.

Frequently Asked Questions