Vp Credit Risk - Toronto, Canada - Chad Management Group

Chad Management Group

Verified Company

Toronto, Canada

18 hours ago

Posted by:

Sophia Lee

beBee Recruiter

Description

VP Credit Risk & Analytics

Cambridge ON

With over $1Billion in loans funded, our client has helped hard-working Canadians with personalized money solutions with more flexibility than traditional banks across both its retail and digital channels.

They are a member of the Canadian Consumer Finance Association, fully licensed lender with 110+ branches across Ontario. The company believes their customers deserve clear, understandable loan terms and therefore encourage fair and fully disclosed lending practices. The company is on a National growth path, working to digitize the end to end consumer lending experience.

About The Role:

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

Qualifications:

5+ years of experience within consumer lending environment
Experience building predictive models, regression modeling, credit modelling for auto adjudication, decision trees, logistics regression, etc.
Experience with 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 automating decision engines for different clients)
Strong project management and communication skills
Proven analytical and conceptual thinker who can adapt to a rapidly changing environment
Demonstrated ability in working within team and collaborating with multiple stakeholders to understand issues and solve problems
Ability to distill and communicate complex analytic recommendations to both technical and nontechnical stakeholders, both orally and in written presentations
Educational backgrounds in Applied Statistics, Computer Science, Risk Management, Financial Engineering, Statistical Modelling