Senior Quantitative Analyst (Financial Markets)
Take a central role
The Bank of Canada has a vision to be a leading central bank—dynamic, engaged and trusted—committed to a better Canada. No other employer in the country offers you the unique opportunity to work at the very center of Canada’s economy, in an organization with significant impact on the economic and financial well-being of all Canadians. You will be challenged, energized and motivated to excel in our environment.
Building on the principles that have always guided us – excellence, integrity and respect – we strive to be forward-looking and innovative, to welcome people with diverse perspectives and talents, and to earn trust by living up to our commitments and by clearly explaining the intent of our policies and actions.
With our defined-benefit pension plan, benefits, and high flexibility for work life balance - find out more about why we are annually ranked as one of Canada's top employers: Working Here - Bank of Canada
Find out more about the next steps in our Recruitment process.
What you do
We are looking for an experienced Financial Sector Specialist with strong experience to design, develop, and maintain advanced quantitative solutions within the Financial Markets Data Analytics (FMDA) division of the Markets and Banking Department (MBD).
FMDA works with a wide range of data assets, including data from commercial providers, regulatory agencies, and internally generated operations data. The team designs and automates data pipelines, curates and transforms data, and develops statistical and machine learning models. In addition, FMDA provides reusable tools, templates and best practices that enable other teams to efficiently monitor, analyze and report on their data. The division also offers specialized financial modelling expertise in support of the Bank’s fiscal agent responsibilities and domestic market operations. Solutions are user-focused and developed using agile principles in close collaboration with financial market specialists as well as digital and technology partners.
More specifically, you will:
- Develop and maintain asset pricing, portfolio analytics, performance attribution and financial risk models to support market analysis, portfolio construction, risk measurement, and informed decision making
- Support model validation and documentation in alignment with internal model risk management standards
- Collaborate closely with financial market specialists, economists, and technology teams to translate business and operational requirements into scalable quantitative solutions
- Contribute to the development of end to end analytical pipelines, from data ingestion through to production grade outputs
- Stay current with industry best practices in financial engineering, quantitative finance, and data science, and help evolve FMDA’s modelling and analytical standards
What you need to succeed
This role blends deep financial markets expertise with advanced analytical, statistical, and computational capabilities. It is suited to a seasoned quantitative professional who thrives at the intersection of financial theory, applied mathematics, and modern data science, bringing strong financial intuition and rigorous thinking to translate complex models into practical, decision ready insights.
You have:
- Significant experience performing quantitative analysis in market facing, risk, treasury, portfolio construction or quantitative research environments
- Proven expertise in fixed income analytics, including yield curve modelling, bond and derivatives pricing, term structure analysis, portfolio optimization, scenario analysis or hedging strategies
- Experience applying advanced statistical, econometric, and numerical methods to time series, panel, and high frequency financial market data across rates, fixed income, and foreign exchange markets
- Strong ability to communicate complex quantitative results to both technical and non technical stakeholders
Additionally:
- Advanced quantitative and programming expertise in one or more statistical/analytical languages (e.g., Python, R, MATLAB) including experience with numerical methods, optimization, and statistical modelling libraries
- Strong foundation in probability theory, statistics, stochastic processes, linear algebra, and optimization
- Experience applying statistical learning or machine learning techniques to financial market problems, with sound judgment on model appropriateness
- Familiarity with software engineering best practices, including version control, reproducibility and testing
- Comfortable working in an environment with ambiguous and evolving requirements, balancing theoretical rigor with practical usability
Nice to have
- Experience working with cloud-based analytics platforms such as Microsoft Azure, Databricks and Power BI/Fabric
- Knowledge of asset liability (ALM) management frameworks
- Demonstrated ability to design and integrate AI solutions into operational workflows
Your education and experience
This position requires a graduate degree (Master’s or PhD) in financial engineering, quantitative finance, mathematics, statistics, economics, engineering or a related quantitative discipline along with five (5) years of relevant professional experience in financial quantitative modelling or advanced data science. An equivalent combination of education and experience may also be considered.
Innovative Mindset
We value candidates who demonstrate adaptability, curiosity, and a willingness to learn new technologies, including AI and digital tools. We seek individuals who can think critically about data, question existing processes, and find ways to simplify our work while embracing change and new ways of doing things.
Language requirement
The Bank’s work environment is conducive to the use of both of Canada’s official languages - English and French. Although the position language requirement is English or French essential, we do encourage everyone to improve their second language proficiency for future career growth and to contribute towards fostering a bilingual environment.
What you need to know
- Priority will be given to Canadian citizens and permanent residents
- Security level required: Be eligible to obtain Reliability
- Relocation assistance may be provided, if required
- Please save a copy of the job poster. Once the closing date has passed, it will no longer be available.
- The official title for this position is “FSS Senior Analyst”
Hybrid Work Model
The Bank offers work arrangements that provide employees with flexibility, enable high-performing teams, and support an excellent workplace culture. Most employees can telework from home for a portion of each month as part of the Bank’s hybrid work model, and they are expected on site at the Bank location a minimum of 12 days per month to help build connections between colleagues. You must live in Canada, and within reasonable commuting distance of the office.
What you can expect from us
This is a great opportunity to join a leading organization and be part of a high-performing team. We offer a competitive compensation and benefits package designed to meet your needs at every stage of your life and career. For more information on key benefits please visit A great deal to consider.
- Salaries are based on qualifications and experience and typically range from $111,051 to $130,649 (job grade 17)
- The Bank offers an incentive for successfully meeting expectations at 7 to 10% of your base salary. The Bank offers additional performance pay (5%) for those who exceed expectations. Exceptional performers who far exceed expectations may be eligible for higher performance pay.
- Flexible and comprehensive benefits so you can choose the level of health, dental disability and life and/or accident insurance coverage that meets your needs
- Extra vacation days (up to five each year) that you can purchase to add to your vacation entitlement
- Indexed, defined-benefit pension
We wish to thank all applicants for their interest and effort in applying for this position. Only candidates selected for interviews will be contacted.
