<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced credit risk models to support financial decision-making.</p><p>• Oversee stress testing processes to evaluate the resilience of lending portfolios.</p><p>• Manage loan loss allowance calculations and reporting to ensure compliance with regulatory standards.</p><p>• Collaborate with cross-functional teams to streamline analytics and improve data-driven strategies.</p><p>• Utilize tools like Databricks and GitHub for efficient coding and data management.</p><p>• Lead the development of innovative solutions for credit risk assessment and monitoring.</p><p>• Provide guidance and mentorship to the analytics team, encouraging growth and attention to detail.</p><p>• Ensure the accuracy and reliability of financial data used in risk evaluations.</p><p>• Stay updated on industry trends and integrate best practices into organizational processes.</p>

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

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