Data Scientist (Credit Risk Modelling)

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Why FCC?

At FCC, were proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.

Heres what you can expect when you join our team:

• Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs

• Purpose-driven work: We build strong relationships, share knowledge and support the people who feed the world

• Growth: Learning and development opportunities to help you thrive

• Hybrid work options

How you will make an impact

As a Data Scientist, youll focus on building and improving tools to help FCC understand and manage credit risk. Working with complex data, youll design and validate analytical models that directly support risk management and datadriven decision making. Your work will help assess, monitor, and mitigate credit risk throughout FCC, as models are implemented in real-world operations through close collaboration with business and technology teams. Youll deliver clear, actionable insights that inform strategic and operational decisions and drive measurable improvements in portfolio risk outcomes.

What youll do

• Design, develop, validate, and maintain credit risk models, including Internal Rating and Operational Credit Risk Models, Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), and analyze how these components interact.

• Unlock insights from complex internal and external data to support datadriven decisionmaking.

• Apply advanced analytics techniques (e.g., statistical modeling, machine learning, forecasting) to identify risks and opportunities.

• Translate complex analytical outputs into clear, practical insights for nontechnical stakeholders.

• Collaborate with business leaders, technology teams, and external partners to implement analytics solutions in production.

• Apply strong analytical judgment and rigor to reduce ambiguity and support strategic and operational decisions.

What youll bring to the team

Required qualifications

• Bachelors degree in finance, economics, mathematics, statistics, actuarial science, computer science, agriculture, or a related field.

• 4+ years of experience in data science, analytics, or risk modeling, including experience in developing credit risk models.

• Strong understanding of Internal Rating, PD, LGD, and EAD, and their role in credit risk measurement frameworks, including IFRS 9 and Economic Capital.

• Proven experience building, validating, and interpreting statistical or predictive models.

• Strong foundation in statistics, mathematics, and analytical problemsolving.

• Proficiency with tools such as SQL, SAS, R, Python, Power BI, or similar technologies.

• Ability to communicate complex analytical concepts clearly and influence decisionmaking.

• Strong collaboration and communication skills in crossfunctional environments.

• Strong written communication skills, with experience producing clear, high-quality model development and validation documentation

• Preferred qualifications

• Experience working with large, complex datasets (structured and unstructured).

• Exposure to cloud environments and analytics platforms (e.g. AWS).

• Experience supporting domains such as risk management, marketing and pricing, economics, finance, or strategy.

• Experience mentoring or providing technical leadership to other analytics professionals.

Not sure you meet every requirement? We encourage you to apply anyway.

You belong here
At FCC, were committed to creating an inclusive, equitable and accessible workplace one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and were dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives.

We encourage qualified applicants to apply, including members of these four employment equity groups:
Indigenous Peoples
Members of visible minority groups
Persons with disabilities
Women

Accessibility and accommodations

To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: TalentSupplyRecherch@fcc-fac.ca . An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.