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Bachelor’s degree or higher in Business or a quantitative field such as Finance, Economics, Sciences, Math, or Engineering.
2–4 years of experience in an analytical role performing statistical analysis or modeling; exposure to credit risk management or the financial services sector is an asset.
Proficient in the use of SAS and Big query tools for data extract and transform. Experience with other programming languages such as SQL, Python and R is an asset.
Understanding of predictive modelling techniques, particularly categorical models such as decision trees. Experience developing models in SAS or other predictive modelling software is an asset.
Experience with TSYS and TRIAD account management systems is an asset.
Proficient in the use of Power BI or other visualization tools is an asset.
Strong analytical thinking and problem‑solving skills.
Clear written and verbal communication skills, including the ability to explain portfolio performance.
Growth mindset with intellectual curiosity, proactiveness, and a passion for continuous learning.
Solid interpersonal skills with the ability to collaborate with teammates to solve problems, proactively address emerging risks, and anticipate client needs.
Manager, Credit Risk Strategies - Tangerine Global Risk Management
Toronto, ONPosted 1 weeks ago