Data Scientist (Credit Risk Modelling)
Farm Credit CanadaRole Overview
Farm Credit Canada is hiring a mid-level Data Scientist (Credit Risk Modelling). This is a full-time hybrid role, based in Ontario. Part of Farm Credit Canada's Risk hiring. The posted range is $92k to $125k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Closing Date (MM/DD/YYYY):
04/02/2026
Worker Type:
Permanent
Language(s) Required:
English
Term Duration (in months):
Salary Range (plus eligible to receive a performance based incentive, applicable to position) :
$92,310 - $124,890
Why 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'll 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 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. You'll deliver clear, actionable insights that inform strategic and operational decisions and drive measurable improvements in portfolio risk outcomes.
Whatyou'lldo
- Design, develop,validate, andmaintaincredit risk models, includingInternal 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) toidentifyrisks 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.
Whatyou'llbring to the team
Required qualifications
- Bachelor's degree in finance, economics, mathematics, statistics,actuarial science,computerscience, agriculture, or a related field.
- 4+ years of experience in data science, analytics, orrisk modeling, including experience indevelopingcredit riskmodels.
- Strong understanding ofInternal Rating,PD, LGD, and EAD, and their role in credit risk measurementframeworks, includingIFRS 9 and Economic Capital.
- Proven experience building,validating, and interpreting statistical or predictive models.
- Strong foundationin statistics, mathematics, and analytical problemsolving.
- Proficiencywith 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, 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: 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.
Frequently Asked Questions
How do I apply for the Data Scientist (Credit Risk Modelling) position at Farm Credit Canada?
Use the Apply button above to submit your application directly to Farm Credit Canada. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Data Scientist (Credit Risk Modelling) role at Farm Credit Canada remote or in-office?
This is a hybrid role based in Ontario. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
How much does the Data Scientist (Credit Risk Modelling) role at Farm Credit Canada pay?
Farm Credit Canada has posted a compensation range of $92k to $125k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Data Scientist (Credit Risk Modelling) role at Farm Credit Canada posted?
This role was posted on March 19, 2026 (81 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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