We are looking for a Quantitative Analytics Manager to lead strategic initiatives in credit risk analysis and financial modeling. This role focuses on developing solutions to assess risk, optimize lending portfolios, and enhance organizational decision-making. Based in Hartford County, CT, this position requires expertise in data analytics and strong leadership capabilities.

Responsibilities:

• Design and implement advanced credit risk models to support financial decision-making.

• Oversee stress testing processes to evaluate the resilience of lending portfolios.

• Manage loan loss allowance calculations and reporting to ensure compliance with regulatory standards.

• Collaborate with cross-functional teams to streamline analytics and improve data-driven strategies.

• Utilize tools like Databricks and GitHub for efficient coding and data management.

• Lead the development of innovative solutions for credit risk assessment and monitoring.

• Provide guidance and mentorship to the analytics team, encouraging growth and attention to detail.

• Ensure the accuracy and reliability of financial data used in risk evaluations.

• Stay updated on industry trends and integrate best practices into organizational processes.

• Proven experience in credit risk management and financial modeling.
• Strong proficiency in stress testing and loan loss allowance methodologies.
• Skilled in data analytics tools, including Databricks and GitHub.
• Demonstrated ability to lead and manage teams effectively.
• Solid understanding of regulatory requirements and compliance standards.
• Excellent coding skills and familiarity with advanced analytics platforms.
• Strong problem-solving abilities and attention to detail.
• Effective communication skills to present complex data to stakeholders.