CIBC

Senior Consultant, Quantitative Risk Modelling

CIBC$90K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master’s degree or PhD in a quantitative field (analytics, statistics, mathematics, computer science)
  • 3+ years of progressive experience in data analytics and machine learning
  • Strong background in retail credit risk management, preferably in banking
  • Expertise in agentic AI systems and complex machine learning model management
  • Proficiency in Python and Databricks, including data processing and model orchestration
  • Demonstrates strong ownership and results-driven mindset

Responsibilities

  • Lead planning, development, testing and optimization of statistical and machine learning models
  • Architect and implement model development workflows in Databricks
  • Create complex strategies for implementation using tools like FICO Decision Optimizer and SAS
  • Present model results and translate findings into actionable insights for stakeholders
  • Write validation documentation and ensure compliance with governance standards
  • Collaborate with cross-functional teams to support strategy development

Benefits

  • Competitive salary and incentive pay
  • Comprehensive benefits program and defined benefit pension plan
  • Employee share purchase plan and vacation offerings
  • Wellbeing support resources
  • Paid day off for personal development (Purpose Day)
Full Job Description
What you'll be doing

As a Senior Consultant, Quantitative Risk Modeling in CIBC’s Client Credit Risk Analytics group, you’ll play a pivotal role in developing statistical and machine learning models and AI solutions that drive credit risk strategies for retail lending products. You’ll lead end-to-end optimization and strategy projects, collaborating with risk partners to optimize the risk/revenue tradeoff and enhance the client experience. Your expertise in modeling, data analysis, and governance will support the creation of robust models that predict key client performance metrics such as losses, delinquencies, balances, and revenues. You’ll communicate complex model results to both specialist and non-specialist audiences, maintain rigorous model governance standards, and ensure all work aligns with CIBC’s compliance policies. This role offers the opportunity to make a direct impact on CIBC’s risk management and business performance through innovative modeling and strategic insight.

At CIBC we enable the work environment most optimal for you to thrive in your role. To successfully perform the work, you'll be on-site full-time.

How you'll succeed

  • Model Development & Optimization – Lead the planning, development, verification, and testing of statistical and machine learning models for credit risk strategies, ensuring models meet statistical standards and business objectives.

  • Databricks Process & Model Flow – Architect, implement, and optimize end-to-end model development workflows in Databricks, ensuring seamless integration, reproducibility, and scalability of AI/ML models.

  • Strategy Implementation – Create complex strategies for production and implementation using tools such as FICO Decision Optimizer, Python, Databricks, and SAS.

  • Communication & Stakeholder Engagement – Present model results to both technical and non-technical audiences, translating technical findings into actionable business insights.

  • Governance & Compliance – Write model validation documentation, maintain replicable codes, and monitor model performance in alignment with model governance standards.

  • Cross-Functional Collaboration – Work closely with Risk Analytics, Credit Decisioning, Model Validation, and other teams to support strategy development and vetting processes.

Who you are

  • You have advanced analytics and AI experience. You hold a Master’s degree or PhD in a quantitative field such as analytics, statistics, mathematics, computer science, or a related discipline. You bring over 3 years of progressive experience in data analytics and machine learning, with a strong background in retail credit risk management, ideally within the banking industry.

  • You’re an expert in agentic AI and machine learning. You have hands-on experience developing, deploying, and monitoring agentic AI systems, and you’ve built and managed complex machine learning models for real-world applications, preferably in financial services.

  • You have technical mastery in Python and Databricks. You’re highly skilled in Python and have extensive experience with Databricks, including managing end-to-end process and model flows. You’re comfortable with large-scale data processing, model orchestration, and applying MLOps best practices.

  • You have an ownership mindset. You’re results-driven, take initiative, and demonstrate a strong sense of ownership in your work. You’re motivated to achieve goals and deliver impactful outcomes.

  • Values matter to you. You bring your authentic self to work and live our values—trust, teamwork, and accountability.

#L1-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

Job Location

Toronto-81 Bay, 31st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Credit Risks, Decision Making, Group Problem Solving, Model Analysis, Regulatory Requirements, Risk Models, Risk Monitoring, Risk Quantification

About CIBC

The Canadian Imperial Bank of Commerce is a Canadian multinational banking and financial services corporation headquartered in Toronto, Ontario. The bank is headquartered at Commerce Court in the city's Financial District. CIBC's Institution Number is 010, and its SWIFT code is CIBCCATT. It is one of two Big Five banks founded in Toronto, the other being the Toronto-Dominion Bank. The Canadian Imperial Bank of Commerce was formed through the June 1, 1961, merger of the Canadian Bank of Commerce and the Imperial Bank of Canada, the largest merger between chartered banks in Canadian history. The bank has four strategic business units: Canadian Personal and Business Banking, Canadian Commercial Banking and Wealth Management, U.S. Commercial Banking and Wealth Management, and Capital Markets. It has international operations in the United States, the Caribbean, Asia, and United Kingdom; Globally. CIBC serves more than eleven million clients, and has over 40,000 employees. The company ranks at number 172 on the Forbes Global 2000 listing.
Learn more about CIBC
Market Cap
$43.5 billion
Industry
Founded
1867
5 Year Trend
+8.8%

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