banking or financial background is MUST

****Please apply only if you are comfortable with below pay rates****

Max pay rates:

INC - $41.66/hr

T4 - $36.62/hr

Years of experience: 3-5 years of exp

Contract Period: 5 months

Location: Toronto, ON

Location Type: Hybrid; any 2 days per week

Business Hours: Monday to Friday; Core Business Hours

Experience & Qualification Requirements:

• Strong background in data-driven statistical modeling, supervised learning, unsupervised learning and discriminative models
• Strong theoretical and numerical background
• Programming experience in SAS, Python or MATLAB is strongly preferred
• Knowledge of coding standards and object-oriented programming
• Experience working with relational databases and SQL
• Strong interest and ability to undertake applied research
• Out-of-the-box thinker and enthusiastic in solving problems
• Strong written and verbal communication skills
• Ability to work in a multi-disciplinary team setting
• Strong work ethic and adaptable to changing priorities

Job Responsibilities:

• Develop PD, LGD and UGD models for DFAST, EWST, CECL and IFRS9 usage
• Design econometric models to explore relationships between credit losses and the macroeconomic environment
• Design mathematical and statistical algorithms to enhance existing models
• Conduct applied research for credit risk modeling
• Perform ad hoc analyses as required by management and other business partners
• Participate in design, planning, implementation and testing of various modeling initiatives
• Collaborate with non-retail teams and participate in cross-functional projects as needed
• Produce and maintain well-articulated documentation on above
• Write and maintain robust code for performing the above functions