VP - Credit and Data Analytics

About the role

Barclays Risk develops, recommends, and implements controls and cost-effective approaches to minimise risks, identifies and analyzes potential sources of loss, and estimates the potential financial consequences of an occurring loss.

Responsibilities

• Develop underwriting strategy models through analyzing customer behavior and risk/credit strategy using statistical techniques such as CHAID Decision Trees, optimization procedures, writing SAS or SQL scripts to navigate databases, and incorporating score implementations supporting launch.
• Evaluate initial credit line strategies, assessing line assignment dynamics and profitability, and impact of credit lines on different credit card P&L drivers.
• Perform model valuations to regularly evaluate existing strategies and identify opportunities to optimize.
• Work with Segment, Strategic Analytics, and Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction.
• Create comprehensive reporting to share with senior management monthly, including customer behavior such as card spend, balances, payment behavior, delinquency, and credit loss characteristics, and compare Barclays performance against the credit card industry.
• Supervise 2 AVP Credit Analysts.

Qualifications

• Advanced degree in Finance, Economics, Statistics, or a related field.
• Minimum of 8 years of relevant experience in credit risk management, data analytics, or similar field.
• Experience with SAS, SQL, and decision tree modeling.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.

Skills

• Statistical analysis and modeling.
• Data manipulation and database navigation.
• Underwriting strategy development.
• Collaboration and teamwork.
• Project management and time management.

Benefits

• Competitive compensation package.
• Flexible work options, including remote work.
• Health and wellness programs.
• Professional development opportunities.
• Community involvement and volunteer programs.

Pay

Not specified.

Schedule

Hybrid role, with anchor days at the office.

Contact

For inquiries, please contact [Hiring Manager Name] at [Email Address]. Note: The Pay and Schedule sections were not specified in the job posting, hence they are omitted. Similarly, the Contact section is a placeholder and should be replaced with the actual contact information.