Director - Credit Risk Strategy and Analytics

Job Title: Director of Credit Risk Strategy and Analytics

Total compensation up to $250,000 (split between basic salary, bonus and RSU's).

This role is 100% remote, however this person must be based in Dallas, TX.

Hemans. is working with a well-known and reputable firm who are looking to make a key hire, looking for a highly skilled and experienced Director of Credit Risk Strategy and Analytics to lead their credit risk management team.

The ideal candidate will possess deep expertise in credit risk strategies, customer management, and portfolio management, along with a proven track record of leadership and technical proficiency in Python, R, and SQL. A master's degree in a quantitative field is required.

Key Responsibilities:

• Develop and implement comprehensive credit risk strategies to optimize portfolio performance and minimize risk exposure.
• Lead the analysis and management of credit risk across various customer segments and product lines.
• Oversee the design and deployment of credit risk models and scorecards, leveraging advanced analytics and machine learning techniques.
• Collaborate with cross-functional teams to integrate credit risk strategies into business operations and decision-making processes.
• Monitor and report on key credit risk metrics, providing actionable insights and recommendations to senior management.
• Ensure compliance with regulatory requirements and industry best practices in credit risk management.
• Mentor and develop a high-performing team of credit risk analysts and data scientists.
• Utilize Python, R, and SQL for data analysis, model development, and process automation.

Qualifications:

• Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or related discipline.
• Extensive experience in credit risk strategy, customer management, and portfolio management.
• Strong leadership skills with a demonstrated ability to lead and inspire teams.
• Proficiency in Python, R, and SQL for data analysis and modeling.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience in financial services or banking industry.
• Familiarity with regulatory requirements and compliance standards in credit risk management.
• Experience with advanced analytics tools and machine learning frameworks.