Logo of Huzzle

Home

Matches

Explore

Manage

Find 28,000+ jobs, internships & events from 6,000+ top companies on Huzzle using AI

Analyst, Financial Risk - Financial Engineering & Modeling - Montreal, Quebec City, Ottawa

image

Deloitte

Dec 1

  • Job
    Full-time
    Entry Level
  • Data
    Banking & Finance
  • Ottawa

AI generated summary

  • You need a Master’s/PhD in a quantitative field, strong analytical skills, bilingual in French/English, experience in risk modeling, knowledge of financial products, and relevant certifications are a plus.
  • You will solve complex financial risk problems, develop and validate models, and collaborate with teams to provide tailored risk management solutions for financial services clients.

Requirements

  • 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).
  • Due to the nature of the role having interactions with National & Global clients, bilingualism in French and English is required for this position.
  • Familiarity with standard credit risk practices, encompassing methodologies for expected loss such as Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), as well as understanding of supervisory and regulatory requirements pertaining to credit risk models, including the IFRS 9 and Stress Testing framework.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Relevant experience in 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.
  • 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.
  • 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.
  • 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.

Responsibilities

  • 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.
  • 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.
  • As an Analyst in the Risk, Regulatory & Forensics - Financial Risk practice at Deloitte Canada, you will play a vital role in providing risk management solutions to clients in the financial industry.
  • You will work closely with cross-functional teams to support the development, validation, and internal audit of models across a wide range of financial risk areas, including Credit Risk, Market Risk, Liquidity Risk, Insurance Risk, Anti-Money Laundering (AML), Fraud Analytics, AI and Machine Learning model risk, as well as Investment Risk and Performance Measurement.
  • 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.

FAQs

What is the job title for this position?

The job title is Analyst, Financial Risk - Financial Engineering & Modeling.

What locations are available for this position?

The available locations are Montreal, QC; Ottawa, ON; and Quebec City, QC.

What type of employment is this position?

This position is a permanent role.

What are the educational requirements for this role?

The role requires a Master's or PhD degree in Mathematical Finance, Statistics, Mathematics, Physics, Actuarial Science, or a related quantitative field.

What technical skills are required for this position?

Candidates should have strong analytical skills and proficiency in software such as R, Python, SAS, SQL, VBA, and MATLAB.

Is bilingualism required for this position?

Yes, bilingualism in French and English is required due to interactions with National and Global clients.

What are the different streams available that applicants can choose from?

The available streams are Credit Risk Modeling, Market Risk Modeling, Liquidity Risk Modeling, Insurance Risk Modeling, AML Analytics, Fraud Analytics, AI/ML, Model Internal Audit, Investment Risk, and Investment Performance.

What is the salary range for this position?

The salary range for this position is $62,000 - $92,000.

What benefits are included in the Total Rewards package?

The Total Rewards package includes a competitive base salary, a $4,000 per year mental health support benefit, a $1,300 flexible benefit spending account, 38+ days off, flexible work arrangements, and a hybrid work structure.

What is Deloitte’s commitment to diversity and inclusion?

Deloitte encourages applications from all qualified candidates representing diverse communities, including individuals with disabilities, candidates from Indigenous communities, and candidates from the Black community, to create a culture of Diversity, Equity, and Inclusion.

Is there support for professional development in this position?

Yes, Deloitte offers opportunities for learning, gaining experience, and developing skills, supporting career advancement alongside talented colleagues.

Can I apply if I am pursuing a CFA or FRM designation?

Yes, having or working towards a Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is considered an asset for specific risk streams.

What should I do if I require accommodations during the recruitment process?

You can connect with Deloitte at accessiblecareers@deloitte.ca for any accommodations needed during the recruitment process.

What impact does Deloitte aim to have on clients?

Deloitte aims to inspire clients and help them tackle their most complex problems, enabling them to take control and find the best solutions for their challenges.

image

Deloitte

Consulting
Industry
10,001+
Employees
1845
Founded Year

Mission & Purpose

Deloitte, as one of the Big 4 global professional services firms, offers a comprehensive range of services including audit, tax, consulting, and advisory solutions to clients worldwide. Their ultimate mission is to deliver exceptional value to their clients by helping them navigate complex challenges, achieve sustainable growth, and stay ahead in an ever-changing business landscape. Deloitte's purpose lies in making an impact that matters and contributing to the success and well-being of their clients, people, and communities. With a team of skilled professionals and a commitment to innovation and collaboration, Deloitte strives to shape the future of business and create positive, lasting outcomes for their stakeholders.

Culture & Values

  • Lead the way

    We are not only leading the profession, but also reinventing it for the future. We are also committed to creating opportunity and leading the way to a more sustainable world.

  • Serve with integrity

    By acting ethically and with integrity, we have earned the trust of clients, regulators, and the public. Upholding that trust is our single most important responsibility.

  • Take care of each other

    We look out for one another and prioritize respect, fairness, development, and well-being.

  • Foster inclusion

    We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps deliver well-rounded client solutions.

  • Collaborate for measurable impact

    We approach our work with a collaborative mindset, teaming across businesses, geographies, and skills to deliver tangible, measurable, attributable impact.

Article & News