Lead Credit Risk Modeler

Cash 4 You Corp.; Mississauga; On-site; CAD 140,000 - 170,000; Full time

Job summary

A leading consumer lending company based in Ontario is seeking a Lead Credit Risk Modeler to design, deploy, and tune credit models. This role is crucial in shaping risk strategies and optimizing portfolio performance. Ideal candidates will have over 5 years of experience in consumer credit modeling and proven deployment of machine learning models. The position offers a competitive salary of CAD 140,000–170,000 and the opportunity to make a significant impact on the business.

Benefits

Bonus up to 20% based on performance

Qualifications

• 5+ years in consumer credit risk modeling for lenders.
• Experience building and deploying production consumer credit models.
• Hands-on deployment of AI/ML models.

Responsibilities

• Build and deploy predictive models for default risk using various techniques.
• Set risk-based cutoffs to balance approvals and losses.
• Monitor and assess model performance and stability.

Skills

Consumer credit risk modeling

Machine learning deployment

Data wrangling

P&L justifications

Tools

Python

SQL

SAS

Job description

Overview

Lead Credit Risk Modeler (Consumer Lending)

About the Role

We need a battle-tested model builder who's shipped consumer lending models that actually ran live portfolios—not a scorecard tweaker or a generic data scientist. You'll own the full cycle: designing, deploying, and tuning credit models, setting cutoffs, and shaping risk strategy with the CEO. You're as comfortable with gradient boosting as you are explaining P&L impacts to the board.

What You'll Do

• Build and deploy predictive models (logistic regression, LightGBM, neural networks) for default risk and repayment likelihood using Python, SQL, or SAS.
• Set risk-based cutoffs and policy overlays to maximize approvals while keeping losses low across non-prime and near-prime portfolios.
• Wrangle messy credit bureau (TransUnion, Equifax), bank transaction, and internal data—no dataset is too ugly.
• Monitor delinquency trends, vintage curves, and model stability (Gini, KS) to stay ahead of risks.
• Justify cutoffs and strategies to leadership with clear P&L impacts (e.g., "this cutoff saves $X in charge-offs").
• Recommend portfolio segmentation and risk appetite to fuel growth without blowing up.

Must-Haves

• 5+ years in consumer credit risk modeling for lenders (installment loans, credit cards, BNPL, auto).
• Personally built and deployed at least one production consumer credit model with proven impact (e.g., cut losses by X%, boosted approvals by Y%).
• Hands-on deployment of AI / ML models (e.g., LightGBM, XGBoost, neural nets) in production, not just logistic regression.
• Deep knowledge of credit bureau data, tradeline behavior, and Canadian lending regulations.
• Track record of setting cutoffs that balance statistical lift with real-world P&L outcomes.

What You're Not

• A scorecard analyst who's only binned variables or tweaked WOE in SAS.
• A model validator or compliance officer who's never shipped a production model.
• An academic with theoretical PD / LGD / EAD papers but no live portfolio experience.
• A data scientist who's only built Kaggle models or worked outside lending.

Compensation

• Base : $140,000–$170,000 CAD, based on experience.
• Bonus : Up to 20% of base, tied to delinquency reduction and approval lift.
• Location : In-office, Cambridge, ON—our models move millions, and you'll be at the heart of the business.

Why Join Us?

Join a team redefining non-prime lending in Canada. Your models will fund real people and drive our growth, not sit in a report. If you've shipped consumer credit models and think like a business operator, this is your shot to own a critical piece of our mission.

Job Details

Job Types : Full-time, Permanent

Pay : $140,000.00-$170,000.00 per year

Work Location : In person