Analyst, Financial Risk - Financial Engineering & Modeling

at  Deloitte

ABOUT THE TEAM

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.

ENOUGH ABOUT US, LET’S TALK ABOUT YOU

You are someone with:

• Master’s or PhD degree in Mathematical Finance, Statistics, Mathematics, Physics, Actuarial Science or a related quantitative field.
• Strong analytical skills and proficiency in software (e.g., R, Python, SAS, SQL, VBA, MATLAB).
• Familiarity with risk modeling techniques and regulatory frameworks (Basel, OSFI, etc.).
• Experience with the capital market, financial products, the Canadian banking system, and regulation requirements.
• Strong verbal and communication skills and the ability to present complex data-driven insights to non-technical stakeholders.
• Excellent documentation and writing skills.
• Demonstrated ability to work in teams and meet project deadlines
• Having or working towards a Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is an asset (for specific risk streams, CFA and FRM are required).

REQUIREMENTS FOR EACH STREAM:

• Credit Risk Modeling:
• Familiarity with standard credit risk practices, encompassing methodologies for expected loss such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), as well as an understanding of supervisory and regulatory requirements pertaining to credit risk models, including the IFRS 9 and Stress Testing framework.

Market Risk Modeling:

• Knowledge 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.

Liquidity Risk Modeling:

• Basic knowledge and skills of modelling practices and regulatory requirements in balance sheet modelling, including balance sheet behavior models, liquidity and capital adequacy stress testing models, structure interest rate risk models, fund transfer pricing and cost of fund analysis.

Insurance Risk Modeling:

• Successfully completed at least three actuarial exams from a recognized professional body, such as the Society of Actuaries (SOA) or the Canadian Institute of Actuaries (CIA), with a commitment to pursuing further actuarial qualifications.

AML Analytics:

• Knowledge of a variety of banking products and services across personal, commercial, and capital markets.
• Certified Anti-Money Laundering Specialist (CAMS) designation or other related certifications are a plus.

• Knowledge/experience of supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC regulations, etc.). Knowledge of industry best practices for AML/ATF, such as Wolfsberg Principles is a plus.

Fraud Analytics:

• Experience leading the development and validation of kiting fraud detection capabilities for financial institutions, including analyzing the detection capabilities in terms of models, rules, etc.
• Track record of designing and deploying machine learning models to solve complex problems, utilizing algorithms such as regression, classification, clustering, and deep learning. Proficient in preprocessing, feature engineering, and model evaluation, while staying up-to-date with the latest advancements in the field to ensure effective and innovative solutions.

• Experience working with developing and tuning under natural language processing (NLP) and large language models (LLM) framework.

• AI/ML:

• Relevant experience in the AI/ML domain. Knowledge of NLP, LLMs (extractive and generative), fine-tuning, development, and deployment of LLM model. Familiar with higher-level trends in LLMs and open-source platforms.

• Creatively solution new features for the clients’ Generative AI offerings, including testing, evaluating and benchmarking different LLMs and toolchains.

• Experience with Langchain and RAG, Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools

Model Internal Audit:

• Adequate knowledge of capital markets, financial instruments, and regulatory requirements such as OSFI CAR and E-23 Guidelines, as well as SR11-7 or SR15-19 supervisory letters.

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• Investment Risk:
• Deep understanding of investment risk and financial instruments
• Comprehensive knowledge of capital markets, Derivatives, and structured financial products
• Experience with vendor models (e.g., FINCAD), databases (e.g., Bloomberg, CapIQ), and valuation of large fixed-income portfolios is an asset.

• Passed FRM I and II

Investment Performance:

• Knowledge of Global Investment Performance Standards (GIPS) is an asset.
• Enrolled in relevant professional designation (i.e. CPA, CFA, CIPM) is beneficial.
• Fluency in French would be an asset.

At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

By living our Purpose, we will make an impact that matters.

• Be encouraged to deepen your technical skills…whatever those may be.
• Partner with clients to solve their most complex problems.
• Experience MyFlex and an agile work environment where work is what you do not where you do it.