CIBC

Quantitative Analyst/Senior Quantitative Analyst

CIBC • $100K — $170K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in quantitative research or analysis
  • Strong proficiency in Python and familiarity with SQL
  • Degree in a STEM field; graduate degree preferred
  • Experience with machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow)
  • Passion for financial markets and quantitative methods

Responsibilities

  • Contribute to the development and validation of quantitative models
  • Analyze large datasets to identify patterns and generate insights
  • Collaborate with portfolio managers to translate investment ideas into analytics
  • Support the development of analytical tools and codebases
  • Present research findings clearly to diverse audiences

Benefits

  • Competitive salary and incentive pay
  • Comprehensive benefits program and defined benefit pension plan
  • Employee share purchase plan
  • Vacation offering and wellbeing support
  • Paid day off for personal growth and development (Purpose Day)
Full Job Description

What you'll be doing

The Quantitative Research Team at CIBC Global Asset Management is responsible for developing and managing systematic investment strategies across equities and fixed income, as well as improving the investment process of discretionary mandates. As a Quantitative Research Analyst, you'll contribute to the research and development of systematic active equity strategies with an AUM of over $11 Billion. You'll support the design and implementation of quantitative models, conduct empirical research, and help translate investment ideas into actionable insights. Working alongside portfolio managers and senior researchers, you'll play an important role in advancing alpha research and portfolio construction methodologies.

 

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.

 

The expected annualized base salary range for this role is $100,000 to $170,000.

 

The base salary is determined by a variety of factors, including the candidate’s skills, experience, and job-related knowledge, as well as geographic location and specific business needs. Our compensation philosophy supports ongoing growth and development, enabling progression within the salary range as team members advance in their roles.

 

In addition to base pay, compensation for this role includes participation in an annual discretionary incentive or bonus program.

 

We are committed to providing fair, equitable, and competitive compensation opportunities for all employees and we encourage open conversations about compensation throughout the recruitment process.

 

Please note, we are open to hiring at either a Quantitative Analyst or a Senior Quantitative Analyst level based on skills and experience. We encourage applications from people at different stages of their career, from recent graduates to experienced professionals.

 

How you'll succeed

 

  • Quantitative Research & Modelling – Contribute to the development and validation of quantitative models, including factor models and portfolio construction frameworks, to support systematic investment strategies.
  • Data Analysis & Insights – Analyze large datasets to identify patterns, test hypotheses, and generate actionable investment insights that support the team's research agenda.
  • Research Support – Collaborate with portfolio managers and senior researchers to translate investment ideas into well-documented, production-ready analytics and research findings.
  • Technology & Tools – Support the development and maintenance of analytical tools and codebases, primarily using Python and SQL, to enhance research workflows and investment processes.
  • Communication – Present research findings and analytical results clearly to diverse audiences, including Analysts, Portfolio Managers, and IT professionals, with varying levels of technical expertise.

 

Who you are

 

  • You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
  • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.
  • You love to learn. You're passionate about growing your knowledge. You have a strong sense of curiosity.
  • You're passionate about financial markets and investing. You have a genuine interest in how markets work and are driven by the opportunity to apply quantitative methods to real-world investment challenges.
  • You can demonstrate experience in Python (required) and SQL (preferred), including strong knowledge of machine learning libraries (e.g., scikit-learn, PyTorch, or TensorFlow). It's an asset if you have familiarity with quantitative research tools and financial data platforms.
  • You have a degree in a STEM field (Computer Science/Engineering, Physics, Mathematics, Statistics, or a related discipline). A graduate degree (Master's or PhD) is preferred.

#LI-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-141 Bay, 18th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Decision Making, Machine Learning (ML), Professional Presentation, Python (Programming Language), Quantitative Financial Analysis, Quantitative Models, Researching, Research Reporting

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%

Similar Jobs

More Jobs at CIBC

More Finance & Insurance Jobs

Find similar Quantitative Analyst/Senior Quantitative Analyst jobs: