VP credit Risk & Analytics

Chad Management Group; Toronto; On-site; CAD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a VP of Credit Risk & Analytics to lead the charge in enhancing their credit scoring capabilities. In this pivotal role, you will leverage your extensive experience in consumer lending to develop strategies that drive growth in both in-branch and digital environments. Your expertise in predictive modeling and credit analysis will be crucial in shaping the future of consumer lending. Join a forward-thinking company dedicated to providing clear and fair lending solutions while being part of a national growth strategy aimed at digitizing the lending experience. This is an exciting opportunity for someone passionate about analytics and risk management.

Qualifications

• 5+ years in consumer lending with strong statistical knowledge.
• Experience in predictive modeling and credit scoring.

Responsibilities

• Support development of credit scoring capabilities and loan portfolio growth.
• Enhance and monitor credit scores across the credit lifecycle.

Skills

Statistical Knowledge

Analytical Skills

Project Management

Communication Skills

Problem Solving

Education

Applied Statistics

Computer Science

Risk Management

Financial Engineering

Statistical Modelling

Tools

R

Matlab

Python

Base SAS

Job description

Job Description

VP Credit Risk & Analytics

Cambridge ON

With over $1 Billion 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 encourages 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 candidate 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 a consumer lending environment
• Experience building predictive models, regression modeling, credit modeling 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 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.
• Demonstrated ability to work within a team and collaborate 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, or Statistical Modelling.