Salary:$92,310 - $124,890 (plus performance based incentive)Closing Date:06/04/2026Worker Type:PermanentLanguage(s) Required:EnglishBenefitsCompetitive 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 programsPurpose‑driven work: building strong relationships, sharing knowledge and supporting the people who feed the worldGrowth: Learning and development opportunities to help you thriveHybrid work optionsWhat You’ll DoDesign, 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.Required QualificationsBachelor’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.Robust written communication skills, with experience producing clear, high‑quality model development and validation documentation.Preferred QualificationsExperience 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.EEO StatementIndigenous PeoplesMembers of visible minority groupsPersons with disabilitiesWomen#J-18808-Ljbffr

📌 Data Scientist (Credit Risk Modelling) - $92,310 - $124,890 A Year (Winnipeg)
🏢 FCC / FAC
📍 Winnipeg