Location: Wilmington, DE or Mt. Laurel, NJ | Work Mode: Hybrid | Pay Range: $96,130 – $144,190 | Apply By: February 27, 2026
Job Description
Department Overview
The TD Bank Credit Cards & Unsecured Lending (CCUL) Credit Management department is responsible for the entire credit lifecycle of card and loan products. The Quantitative Analytics team specifically focuses on developing and maintaining statistical and machine learning models to predict credit risk across acquisition, account management, and collections.
Key Responsibilities:
- Lead the development and enhancement of advanced quantitative models for efficient pricing and risk management.
- Build machine learning models to predict credit risk across the customer lifecycle (Acquisition to Collections).
- Conduct complex statistical tests to ensure the soundness of model theory and assumptions.
- Provide specialized analytical support to the line of business to drive strategy and decision-making.
- Develop specialized analytical tools and forecasting methodologies for ongoing use.
- Monitor and review model results, identifying and remediating unexpected results or anomalies.
- Collaborate with cross-functional teams and senior stakeholders to align modeling results with business overarching strategy.
- Mentor and provide technical guidance to less experienced staff members.
Qualifications:
- Experience: 5+ years of relevant experience in quantitative modeling and statistical analysis.
- Education: Undergraduate degree required; Advanced technical degree (Math, Physics, Engineering, Finance, CS) or PhD is highly preferred.
- Technical Skills: Advanced proficiency in SAS and SQL.
- Expertise: In-depth knowledge of financial analysis, quantitative forecasting models, and Scorecard model development.
- Soft Skills: Proven consultative communication and presentation skills to explain complex math to stakeholders.
Job details made easy by trendtoday360
Position: Senior Credit Risk Modeler – Machine Learning focus
Salary Range: $96,130 – $144,190 (Base) + Total Rewards Package
Core Technology: SAS, SQL, Machine Learning, Statistical Analysis
✅ Job Summary and Focus:
This role at TD Bank is for a Risk Strategist who can translate raw data into “Legendary Customer Experiences” by ensuring fair and accurate credit lending. The focus is on Lifecycle Risk Prediction—using both traditional statistics and modern machine learning to determine who gets credit and how that credit is managed. You will act as a Technical Expert, ensuring that TD’s models are not only mathematically sound but also compliant with rigorous financial regulatory standards. It is a role that combines Advanced Coding in SAS/SQL with High-Level Advisory, as you will be expected to present your findings to senior leadership to influence the bank’s lending strategy.
📌 Key ATS Resume Keywords:
Quantitative Analytics Specialist, TD Bank, Credit Risk Management, Risk Management, Machine Learning, Statistical Analysis, SAS, SQL, Credit Cards, Unsecured Lending, Scorecard Development, Financial Forecasting, Model Validation, CMDB, HRSD, Wilmington DE Jobs.
💰 Compensation and Industry Demographics:
The hiring range for this position is $96,130 to $144,190. TD Bank emphasizes a “fair and equitable compensation” model that allows for progression through the range as skills and experience grow.
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