Credit Risk Data Scientist II

Remotedxb; Dubai; On-site; AED 500,000 - 1,200,000; Full time

Benefits offered by this job

Comprehensive medical insurance

401(k) retirement plan with matching

Health Savings Account (HSA) / FSA

Paid time off + 11 holidays

Life insurance and disability coverage

Job summary

Coastal is seeking an experienced Senior Credit Risk Modeling professional to oversee development, validation, and monitoring of risk models used for decision-making and regulatory reporting.

You will apply advanced data science techniques for loss forecasting, manage governance, and ensure model performance aligns with risk appetite. Collaboration with executives, auditors, and regulators is essential.

Qualifications

• 7+ years of experience in credit risk modeling, validation, or model risk management.
• Proven experience with Expected Loss (EL) using PD, LGD, and EAD frameworks.
• Deep expertise in machine learning and statistical techniques for CECL and CCAR.
• Proficiency in statistical software such as R, Python, SAS, and SQL.
• Strong knowledge of consumer credit, including credit cards and unsecured lending.
• Bachelor's degree in Quantitative Finance, Economics, Statistics, Mathematics, or Data Science.

Responsibilities

• Oversee the development, validation, and performance monitoring of credit risk models for decision-making and regulatory reporting.
• Apply expert-level data science and statistical techniques for loss forecasting and credit decisioning.
• Manage the model governance framework and ensure effective control processes.
• Conduct back testing and assess model performance to make necessary adjustments.
• Ensure alignment of modeling activities with the organization's risk appetite and strategic goals.
• Interact with senior management, auditors, and regulators regarding model performance.

Skills

Credit risk modeling

Model risk management

Validation

EL/PD/LGD/EAD frameworks

CECL/CCAR expertise

Regulatory interaction

Education

Bachelor's degree in quantitative fields

Master's degree in quantitative discipline

Tools

R

Python

SAS

SQL

Job description

Responsibilities

• Oversee the development, validation, and performance monitoring of credit risk models for decision-making and regulatory reporting
• Apply expert-level data science and statistical techniques for loss forecasting and credit decisioning
• Manage the model governance framework and ensure effective control processes
• Conduct back testing and assess model performance to make necessary adjustments
• Ensure alignment of modeling activities with the organization's risk appetite and strategic goals
• Interact with senior management, auditors, and regulators regarding model performance

Requirements

• 7+ years of experience in credit risk modeling, validation, or model risk management
• Proven experience with Expected Loss (EL) using PD, LGD, and EAD frameworks
• Deep expertise in machine learning and statistical techniques for CECL and CCAR
• Proficiency in statistical software such as R, Python, SAS, and SQL
• Strong knowledge of consumer credit, including credit cards and unsecured lending
• Bachelor's degree in Quantitative Finance, Economics, Statistics, Mathematics, or Data Science

Preferred Qualifications

• Master's degree in a quantitative discipline such as Financial Engineering or Applied Mathematics
• Familiarity with credit scorecards and origination credit underwriting
• Experience with Basel III, IFRS 9, and Dodd-Frank regulatory frameworks

Benefits

• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan with company matching
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Generous paid time off and 11 paid holidays
• Company-paid basic life insurance and disability coverage

About the Company

Coastal is a modern banking institution combining strong financial infrastructure with Banking-as-a-Service (BaaS) and fintech enablement strategies to empower individuals and businesses.