About the role:
We are looking for a Senior Associate to own credit policy for our business lending products, starting with a business credit card - from adjudication through the full account lifecycle. You will design and implement the underwriting framework that determines who qualifies and at what limit, build the line management strategies that govern how those limits evolve, and partner closely with collections to manage risk once accounts are on book.
Small business cards can be underwritten on the owner, or on the business as it grows. You’ll be working with cash flow, seasonality, industry, and business bureau data, which is usually thinner and messier than consumer bureau data. We need someone who has worked across that range and can turn it into automated policy instead of file-by-file decisions.
You will collaborate cross-functionally with Engineering, Product, Data Science, Fraud, and Client Experience to translate policy into shippable adjudication and monitoring systems, and you will have significant ownership over how this portfolio’s risk appetite is defined from day one.
In this role, you will have the opportunity to:
- Build a new lending program from the ground up with the breadth to see every part of it, from policy to funding, and the runway to grow into leading a lending line of business.
- Design and own the adjudication policy for a new business credit card, including entity-level underwriting criteria, principal/guarantor assessment, joint-liability, initial limit-setting, and approval decisioning.
- Own line management strategy for business credit products: credit limit increases and decreases, pricing, authorization rules, and active exposure management driven by cash-flow and balance monitoring.
- Partner with the collections team to design risk-managed treatment strategies specific to business accounts, and to build lifecycle monitoring that catches emerging risk early.
- Evaluate the performance of the business lending portfolio and your policies, using vintage analysis, cohort tracking, and champion/challenger testing to validate and refine underwriting decisions.
- Propose policy enhancements that improve marginal profitability while keeping risk within appetite, informed by rigorous root-cause analysis rather than surface-level metrics.
- Help define the data and underwriting infrastructure needed for SMB lending - including how to source, validate, and weigh business financial data alongside traditional bureau signals.
- Influence roadmaps across partner teams (Engineering, Product, Data Science, Fraud, and Client Experience) and implement policy that drives measurable impact.
We're looking for someone who:
- Has direct experience underwriting or setting credit policy for small and medium-sized businesses, this is a must-have for this role. Card experience isn't required; we'd love to hear from you if your background is in instalment loans or lines of credit.
- Writes SQL hands-on to self-serve data and build monitoring and analytics.
- Brings credit discipline to a ship-and-iterate environment, and is comfortable shaping policy while the product itself is still being defined.
- Can turn analysis into a clear recommendation for technical and non-technical audiences, weigh incomplete or noisy information and still reach well-grounded decisions.
- Is intellectually curious, passionate about their work, and wants ownership over their projects.
Preferred qualifications:
- 5+ years of experience in small business lending
- Knowledge of Canadian consumer credit bureau data (Equifax, TransUnion)
- Working knowledge of how business credit risk differs from consumer credit risk: entity vs. personal guarantor assessment, business bureau data (e.g., business credit bureaus), cash-flow-based underwriting, industry/sector risk, and revenue seasonality.
- Experience across the credit lifecycle: adjudication policy, line management, pricing, and collections strategy.
- Experience with statistical/quantitative analysis: experimental design, champion/challenger (or A/B) testing, model accuracy validation, constrained optimization, decision trees, discounted cash flows, financial modeling.
- Experience with Python, and GitHub. Airflow, AWS Redshift, and dbt are a plus.
