Data Scientist developing and maintaining credit risk models for Desjardins, a financial cooperative. Advising teams on risk quantification, Basel/IFRS standards, and credit decisions.
About the role
- Senior Data Scientist leading predictive analytics and data-driven insights for FCC, a Canadian agriculture finance corporation. Developing models, guiding technical direction, and translating complex findings for business leaders.
Responsibilities
- Lead complex insights projects to identify patterns and trends in data and model future scenarios
- Determine technical direction for data solutions, including methodologies, tools and analytical approaches
- Evaluate diverse data sources and develop insights that support business decisions and risk mitigation
- Build, validate, monitor and enhance predictive models and analytics solutions using advanced analytics techniques
- Collaborate with internal and external stakeholders and communicate complex findings in a clear and actionable way
- Provide technical leadership and mentorship to analytics professionals while promoting quality and consistency
- Leverage advanced analytics, statistical modelling and data science to unlock insights from complex internal and external data
- Translate complex findings into clear insights for leaders and stakeholders and advance data-driven solutions to business challenges
Requirements
- A master’s degree in a related domain or an equivalent combination of education and experience
- Minimum six years of experience in data science, analytics, economics, finance, corporate and commercial credit rating, risk management, credit risk modelling, credit portfolio management or information technology
- Extensive knowledge of one or more relevant domains and advanced analytics methodologies
- Proven expertise in predictive and descriptive analytics techniques and statistical modelling
- Demonstrated proficiency with SAS, MS Power BI, AWS tools, R and Python
- Strong mathematical or statistical background
- Ability to communicate complex concepts effectively to non-expert stakeholders
- Understanding of the agricultural industry and FCC business policies and processes
- Experience working with structured and unstructured data is an asset
- Experience with machine learning, artificial intelligence or advanced modelling techniques
Benefits
- Competitive total rewards packages
- Market-aligned and performance-based salary and incentive programs
- Flexible and comprehensive group benefit and savings plans
- Well-being support through benefits and wellness programs
- Purpose-driven work supporting Canadian agriculture and food
- Learning and development opportunities
- Hybrid work options
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