Closing Date (MM/DD/YYYY):
06/04/2026Worker Type:
PermanentLanguage(s) Required:
EnglishTerm Duration (in months):
Salary Range (plus eligible to receive a performance based incentive, applicable to position) :
$92,310 - $124,890Why FCC?
At FCC, we’re 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.
Here’s 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, you’ll focus on building and improving tools to help FCC understand and manage credit risk. Working with complex data, you’ll design and validate analytical models that directly support risk management and data‑driven 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. You’ll deliver clear, actionable insights that inform strategic and operational decisions and drive measurable improvements in portfolio risk outcomes.
What you’ll 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 data‑driven decision‑making.
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 non‑technical 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 you’ll bring to the team
Required qualifications
Bachelor’s 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 problem‑solving.
Proficiency with tools such as SQL, SAS, R, Python, Power BI, or similar technologies.
Ability to communicate complex analytical concepts clearly and influence decision‑making.
Strong collaboration and communication skills in cross‑functional 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, we’re 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 we’re 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: [email protected]. 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.
Skills Required
- Bachelor's 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
- Proven experience building, validating, and interpreting statistical or predictive models
- Strong foundation in statistics, mathematics, and analytical problem-solving
- Proficiency with tools such as SQL, SAS, R, Python, Power BI
- Ability to communicate complex analytical concepts clearly
- Strong collaboration and communication skills in cross-functional environments
- Strong written communication skills with experience producing clear model documentation
What We Do
FCC is a federal Crown corporation that is 100% invested in Canadian agriculture and food. With 100 offices across the country (and our headquarters in Regina), we’ve built a culture of teamwork, leadership and respect. We offer financing, insurance, software, learning programs, and other business services to producers, agribusiness owners and agri-food entrepreneurs across the country. FCC is one of Canada’s best employers. Here, diverse people pull together to achieve challenging and rewarding goals. Learn and grow in an environment of acceptance and accountability. We want our employees to succeed, and our culture helps them do it.
