Data Scientist role at FCC, focusing on building and improving tools to manage credit risk, with a competitive total rewards package, growth opportunities, and hybrid work options.
Requirements
- 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
Benefits
- Competitive total rewards package
- Growth opportunities
- Hybrid work options
- Flexible and comprehensive group benefit and savings plans
- Well-being support through benefits and wellness programs
- Performance-based incentive program
To apply for this job please visit fccfac.wd3.myworkdayjobs.com.
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