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Strategic Credit Risk Analyst

1 week ago

Toronto, Ontario, Canada OSL Retail Services Full time

About Us

OSL Retail Services is a member of the Canadian Consumer Finance Association, fully licensed lender with 110+ branches across Ontario.

We are committed to providing clear, understandable loan terms and encouraging fair and fully disclosed lending practices. Our goal is to enhance our customers' experience through digitizing the end-to-end consumer lending process.

The Role

This position will play a pivotal role in assisting the development of our company's strategy to improve credit scoring capabilities and significantly grow our consumer loan portfolio in both branch and digital channels.

You will support the development, enhancement, and monitoring of all credit scores throughout the entire lifecycle of credit: Acquisitions, Adjudication, Credit Limit Assignment, Portfolio Management, Collections, Fraud, Loss Forecasting.

To be successful, you will bring strong statistical knowledge and experience in a credit risk environment, along with a proven track record of collaborating with business leaders to drive analytically based strategies.

Requirements

  • 5+ years of experience within a consumer lending environment
  • Experience building predictive models, regression modeling, credit modeling for auto adjudication, decision trees, logistics regression, etc.
  • Proficiency in R, Matlab, Python, or Base SAS
  • Demonstrated understanding of credit scores and their use in business strategies, post-implementation use, and monitoring
  • Knowledge of automated decision engines (helped automate decision engines for different clients)
  • Strong project management and communication skills
  • Proven analytical and conceptual thinker who can adapt to a rapidly changing environment
  • Able to distill and communicate complex analytic recommendations to technical and non-technical stakeholders, both orally and in written presentations
  • Educational backgrounds in Applied Statistics, Computer Science, Risk Management, Financial Engineering, Statistical Modeling