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Sr Quantitative Model Developer - Economic Forecasting SVP (hybrid)

Job Req ID 24754721 Location(s) Mississauga, Canada Job Type Hybrid Job Category Risk Management
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The Sr. Quantitative Model Developer is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. The Sr. Quantitative Model Developer is an experienced model developer with solid technical, quantitative, and analytical skills, as well as a strong understanding of economic concepts. Developed communication skills required in order to negotiate collaborate with other team members.

While some background in economic model development desirable, we encourage applicants with a strong model development background (even if no experience specific to macroeconomic/financial forecasting).


  • Lead model development efforts to build best-in-class models for a variety of macroeconomic and concepts, such as GDP, unemployment, HPI, exchange rates, interest rates, credit spreads, etc.
  • Conduct rigorous analytical research to identify causal drivers and to support methodological approaches
  • Serve as an expert resource with respect to econometrics and statistical testing
  • Provide guidance to junior model developers
  • Produce macroeconomic scenario forecasts for macroeconomic variables in firmwide regulatory related processes, such as CECL, CCAR and IFRS 9
  • Utilize Python to build and test statistical models. Write clean, efficient, and well-documented code.
  • Communicate results to diverse audiences.
  • Participate on teams to solve business problems.
  • Identify modeling opportunities that yield measurable business results.


  • 4+ years of post-PhD work experience, or 6+ years of post-Master’s work experience
  • Strong understanding of quantitative model development approaches, preferably obtained through model development experience at a peer financial institution
  • Experience as a lead model developer, including mentoring and guiding junior developers
  • Very strong knowledge of econometrics, with some knowledge of time series econometrics. An understanding of machine learning approaches like XGBoost is also helpful.
  • Practical experience writing programs to build and test predictive models
  • Proficient in Python
  • Solid understanding of economic concepts
  • Consistently demonstrates clear and concise written and verbal communication skills
  • Self-motivated and detail oriented
  • Demonstrated project management and organizational skills and capability to handle multiple projects at one time.


  • Master's degree required, Ph.D. preferred


Job Family Group:

Risk Management


Job Family:

Risk Analytics, Modeling, and Validation


Time Type:


Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

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