Quantitative Analytics Manager

Description

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.

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.

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