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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.
Job Responsibility:
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
Requirements:
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