Data Scientist (Credit Risk Modelling)
Job Location:
Monthly Salary:
Posted:
Application Deadline:
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Job Summary
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) :
$92310 - $124890Why 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 103000 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.
Whatyoulldo
Design developvalidate andmaintaincredit risk models includingInternal Rating and Operational Credit Risk ModelsProbability 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.
Whatyoullbring to the team
Required qualifications
Bachelors degree in finance economics mathematics statisticsactuarial sciencecomputerscience agriculture or a related field.
4 years of experience in data science analytics orrisk modeling including experience indevelopingcredit riskmodels.
Strong understanding ofInternal RatingPD LGD and EAD and their role in credit risk measurementframeworks includingIFRS 9 and Economic Capital.
Proven experience buildingvalidating 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 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: . 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.
Required Experience:
IC
