Credit Risk Data Scientist II

This is a fully remote position, open to applicants in United States.

📋 Description

• Supervise the development, validation, and performance monitoring of credit risk models utilized for decision-making, risk management, and regulatory reporting.

• Oversee CCBX Partner models.

• Utilize statistical, econometric, and machine learning techniques for loss forecasting, credit decision-making, and related applications.

• Manage the model governance framework and control processes associated with model development, production, and validation.

• Evaluate model performance, perform back testing, and make necessary adjustments.

• Handle data integrity, data quality, and data management challenges that affect model inputs and outputs.

• Create and execute policies and procedures to monitor and validate credit risk models.

• Ensure alignment of credit modeling and data science initiatives with the organization’s risk appetite and strategic objectives.

• Effectively communicate and present findings to both internal and external stakeholders, including senior management, auditors, and regulators.

• Provide leadership throughout project planning, execution, reporting, and follow-up on action plans.

• Carry out the physical and office-equipment responsibilities required for the position, including extensive computer use.

⛳️ Requirements

• Bachelor’s degree in quantitative finance, Economics, Statistics, Mathematics, Data Science, Computer Science, or a related discipline.

• Over 7 years of experience in credit risk modeling, model development, validation, model risk management, or forecasting techniques.

• Demonstrated experience with credit risk modeling for Expected Loss (EL) utilizing PD, LGD, and EAD modeling frameworks.

• Experience in modeling oversight, governance, or validation within banking, financial services, or consulting environments.

• In-depth knowledge of machine learning, data science, and statistical techniques relevant to credit loss forecasting models.

• Familiarity with CECL modeling, its implementation, and production of both quantitative and qualitative components.

• Prior experience in machine learning, data science, and statistical modeling.

• Proficient in R, Python, SAS, SQL, or other modeling and data analysis tools.

• Strong business acumen in consumer credit, including credit cards, personal loans, and unsecured lending.

• Comprehensive understanding of CECL, stress testing, loss forecasting, and macroeconomic scenario analysis.

• Knowledge of Basel III, IFRS 9, CCAR, Dodd-Frank, and other regulatory frameworks.

• Previous experience with regulatory stress testing models such as CCAR/DFAST or impairment models like IFRS 9.

• Excellent communication and presentation abilities for interactions with senior management, auditors, regulators, and other stakeholders.

• Capability to work without employment sponsorship.

🏝️ Benefits

• Medical Coverage: Choose from three competitive medical plans.

• Health Savings Account (HSA) offering tax advantages and employer contributions.

• Flexible Spending Accounts (FSA) for healthcare and dependent care expenses.

• Dental and Vision Insurance.

• Company-paid basic life insurance, with options for additional coverage purchase.

• Long-Term / Short-Term Disability (LTD) coverage.

• Supplemental Benefits including Hospital Indemnity, Accident Insurance, and Critical Illness coverage.

• 401(k) Retirement Plan with company matching contributions.

• Generous vacation and sick leave policies.

• 11 paid holidays throughout the year.

• Equal opportunity workplace with reasonable accommodations for individuals with disabilities.