VP credit Risk & Analytics

Chad Management Group; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

A leading financial services firm in Toronto is looking for a VP Credit Risk & Analytics to enhance their credit scoring capabilities. The role requires over 5 years of experience in consumer lending and proficiency in predictive modeling, regression modeling, and analytical strategies. Ideal candidates will possess strong communication skills to translate complex analytics to diverse stakeholders and will work within a dynamic growth environment.

Qualifications

• 5+ years of experience within consumer lending environment.
• Experience building predictive models and credit models.
• Demonstrated understanding of credit scores in business strategies.

Responsibilities

• Assist with the development of the company's strategy for Credit Scoring.
• Support the development and monitoring of credit scores.
• Work with business leaders to drive analytically based strategies.

Skills

Predictive modeling

Credit modeling for auto adjudication

Regression modeling

Project management

Strong communication skills

Analytical thinking

Education

Applied Statistics

Computer Science

Risk Management

Financial Engineering

Statistical Modelling

Tools

R

Matlab

Python

Base SAS

Job description

Job Description

Job 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

The successful candidates will play an instrumental role assisting with the development of the company's strategy to enhance its Credit Scoring capabilities and exponentially grow its consumer loan portfolio, in branch and digital.

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.

The successful candidate will bring strong statistical knowledge and experience in a credit risk environment with a proven track record of working with other business leaders from across the organization to drive analytically based strategies.

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 non-technical stakeholders, both orally and in written presentations
• Educational backgrounds in Applied Statistics, Computer Science, Risk Management, Financial Engineering, Statistical Modelling