Credit Risk Data Scientist II

Overview

This role is responsible for managing and overseeing the development, validation, and performance of internal credit risk models for the CCBX consumer portfolios and providing oversight of CCBX Partner models. These models are critical for credit loss forecasting, credit decisioning, risk management, and regulatory compliance. The position requires technical expertise, strong analytical skills, and deep knowledge of credit risk modeling, data science, and regulatory requirements.

Responsibilities

• Oversee the development, validation, and performance monitoring of all credit risk models used for decision-making, risk management, or regulatory reporting.
• Demonstrate expert proficiency in credit risk modeling and data science techniques (e.g., statistical, econometric, or machine learning methods) used for loss forecasting, credit decisioning, and other use cases.
• Use statistical software and tools such as R, Python, SAS, SQL, or other modeling and data analysis platforms.
• Apply strong business knowledge of consumer credit, including credit cards, personal loans, and unsecured lending.
• Manage the model governance framework, ensuring effective control processes for model development, production, and validation.
• Maintain strong understanding of CECL standard, stress testing methodologies, loss forecasting, and macroeconomic scenario analysis.
• Evaluate model performance, conduct back testing, and make adjustments when necessary.
• Ensure sound working knowledge of data management, data integrity, and data quality issues related to model inputs and outputs.
• Develop and implement policies and procedures to monitor and validate credit risk models.
• Communicate and present findings to internal and external stakeholders, including senior management, auditors, and regulators.
• Ensure credit modeling and data science activities align with the organization’s risk appetite and strategic goals.
• Provide leadership during project planning, execution, reporting, and follow-up on action plans.

Requirements

• Proven experience with credit risk modeling for EL (Expected Loss) using the PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) modeling framework.
• Experience in modeling oversight, governance, or validation functions within banking, financial services, or consulting.
• Deep expertise with machine learning, data science, and statistical techniques for developing credit loss forecasting models for stress testing, CECL, CCAR, and other use cases.
• Experience with CECL process, including modeling, implementation, and production of quantitative and qualitative components.
• Familiarity with machine learning, data science, and statistical techniques for developing credit scorecards and origination credit underwriting is highly desirable.
• Familiarity with Basel III, IFRS 9, CCAR, Dodd-Frank, and other regulatory frameworks for credit risk models.
• Prior experience working with regulatory stress testing models (e.g., CCAR/DFAST) or impairment models (e.g., IFRS 9).

Education/Experience

• Bachelor’s degree in quantitative finance, Economics, Statistics, Mathematics, Data Science, Computer Science, or a related field.
• Master’s degree in a quantitative discipline (e.g., Financial Engineering, Data Science, Applied Mathematics) preferred.
• 7+ years of experience in credit risk modeling, model development, validation, or model risk management, and forecasting techniques.
• Prior experience with machine learning, data science, and statistical modeling.

Preferred Qualifications

• Familiarity with machine learning, data science, and statistical techniques for developing credit scorecards & origination credit underwriting.
• Prior experience with regulatory stress testing models (e.g., CCAR/DFAST) or impairment models (e.g., IFRS 9).

Compensation & Benefits

Compensation Range

• $130,146 - $162,682

Benefits We Offer

• Medical coverage: Choose from three competitive medical plans
• Health Savings Account (HSA): Available with eligible medical plans, offering tax advantages and employer contributions
• Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses
• Dental and Vision Insurance
• Life Insurance: Company-paid basic life insurance with options to purchase additional coverage for yourself and your dependents
• Long-Term/Short-Term Disability (LTD): Income protection in the event of a long-term illness or injury
• Supplemental Benefits: Hospital Indemnity, Accident Insurance, and Critical Illness coverage
• 401(k) Retirement Plan: Retirement savings plan with company matching
• Paid Time Off: Vacation and sick leave policies
• Holidays: 11 paid holidays throughout the year

Physical Demands

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee must be able to:

• Sit for extended periods of time
• Stand for extended periods of time
• Perform repetitive finger, hand, and arm movement
• Use electronic office equipment such as a computer keyboard, mouse, ten key, telephone, etc.
• View and read computer screens for extended periods
• Occasionally stoop, kneel, crouch, or crawl
• Occasionally lift or move up to 10 pounds

Equal Opportunity

All employment decisions are based on merit, qualifications, and business needs. The organization does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable laws.

Additional Information

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for the position. Duties, responsibilities, and activities may change at any time with or without notice.