
Analyst/Consultant/Senior Consultant, Quantitative Market Risk Models
- Toronto, ON
- Permanent
- Full-time
Work Model: Hybrid
Reference code: 129601
Primary Location: Toronto, ON
All Available Locations: Toronto, ONOur PurposeAt Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.By living our Purpose, we will make an impact that matters.
- Have many careers in one Firm.
- Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
- Learn from deep subject matter experts through mentoring and on the job coaching
- Relevant experience spent within Capital Markets and/or Market Risk, on a model development or model validation/vetting team at a major financial institution.
- For Analyst, 0 - 1 year of relevant experience required; for Consultant, 1 - 3 years of relevant experienced required; for Senior Consultant, 2 - 5+ years of relevant experience required.
- Strong academic background with a PhD or Master's Degree in Mathematical Finance, Financial Engineering, or another relevant post-graduate degree (Engineering, Mathematics, Physics, Statistics).
- Hands-on experiences of financial products (e.g., options, swaps, etc.) and their modeling and calibration including numerically solving PDEs, employing binomial trees, and using Monte Carlo methods across a wide range of products, including interest rate, foreign exchange, equity, commodity, and credit derivatives.
- Solid programming skills (e.g., Python, MATLAB, Visual Basic, C++, C#).
- Strong verbal and written communication skills.
- Knowledge of quantitative methodologies in market risks (e.g., VaR, FRTB, CCR, XVA, etc.) and Economic Capital is an asset.