FAQs
What is the primary purpose of the Analyst/Senior Associate role in the Quantitative Market Risk Models team at Deloitte?
The primary purpose of this role is to help financial services industry (FSI) clients address quantitative issues with informed confidence, providing them with professional advice to manage complex challenges using deep technical skills and a global network of experts.
What type of financial models will I be developing or validating in this position?
You will be developing, validating, and reviewing Capital Markets and Market Risk models, including Financial Derivatives Pricing, VaR, Counterparty Credit Risk, XVA, FRTB, IBOR Transition, and CCAR models, among others.
What academic qualifications are required for this role?
A solid academic background with a PhD or Master’s Degree in Mathematical Finance, Financial Engineering, or other relevant postgraduate degrees such as Engineering, Mathematics, Physics, or Statistics is required.
Is prior experience in the financial sector necessary for this position?
Yes, the position requires 1 to 5 years of relevant experience within Capital Markets and/or Market Risk, specifically in model development or validation teams at a major financial institution.
What programming languages are essential for this role?
Solid programming skills in languages such as Python, MATLAB, Visual Basic, C++, or C# are essential for this position.
Is travel a requirement for this job?
Yes, Canadian travel may be required, and there could be occasional international travel, including potential client assignments in the USA.
What knowledge of financial products is expected from candidates?
Candidates should have knowledge of financial products such as options and swaps, and their modeling and calibration in both risk-neutral and real-world scenarios across a wide range of products, including interest rate, foreign exchange, equity, commodity, and credit derivatives.
What quantitative methodologies should I be familiar with for this position?
Familiarity with quantitative methodologies in market risks such as VaR, FRTB, CCR, XVA, and Economic Capital is considered an asset.
Are there additional skills that would be beneficial for this role?
Experience with numerically solving partial differential equations (PDEs), employing binomial trees and Monte Carlo methods is considered an asset and would be beneficial for this role.
Will I have the opportunity to work with new technologies in this position?
Yes, you will have the opportunity to learn and work in quantitative and analytical areas such as credit modeling, forecasting, stress testing, and new innovations including Machine Learning and Artificial Intelligence.