Senior Associate, Quantitative Market Risk Models - Financial Engineering & Modeling

Would you like to further develop your career with our exponentially expanding Financial Engineering and Modelling group? Are you up for the challenge to help the most sophisticated Canadian and international clients to solve their quantitative and modelling issues?

In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

During your typical day you will develop/validate/review Capital Markets and Market Risk models (e.g. Financial Derivatives Pricing, VaR, Counterparty Credit Risk, XVA, FRTB, IBOR Transition and CCAR models) based on industry best practices. You will also be able to learn and work in other quantitative and analytical areas such as credit modeling, forecasting and stress testing, customer behavior modeling, and new innovations such as Machine Learning and Artificial Intelligence. You may also carry out various complex financial analyses including independent derivative valuation, customer behavior modeling, and can get involved in new innovations such as Machine Learning and Artificial Intelligence.

Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

You are someone with:

• Minimum 3-5 years of relevant experience spent within Capital Markets and/or Market Risk, on a model development or model validation/vetting team at a major financial institution.
• 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.

The salary range for this position is $75,000 - $113,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as "Deloitte Days"), flexible work arrangements and a hybrid work structure.