Director Financial Analytics

Webster Bank•Stamford, CT

4d•$165,000 - $180,000

About The Position

If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first, doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster’s values that set us apart as a bank and as an employer. Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work! The Senior Financial Analytics Manager is responsible for leading the development, maintenance, enhancement, and governance of credit risk and forecasting models that support the Bank’s reserve calculations, underwriting, and risk management activities. This role leads the development and refresh of Combined Bank CECL models, supports Business Credit Center (BCC) Auto Decision and Auto Renewal models, and contributes to Dual Risk Rating (DRR) model development and monitoring. The position works closely with Finance, Risk, Credit, Treasury, IT, Data Management, and Model Risk Management teams to develop analytical solutions that support financial forecasting, credit decisioning, regulatory requirements, and strategic business objectives. The ideal candidate combines strong quantitative expertise, hands-on programming skills, and a deep understanding of credit risk and financial modeling in a regulated banking environment.

Requirements

10+ years of experience in credit risk analytics, quantitative modeling, financial analytics, or related disciplines.
Strong experience developing and maintaining CECL, credit risk, reserve forecasting, underwriting, or related predictive models.
Extensive experience working with large and complex datasets.
Proficiency in SAS and/or Python programming languages.
Strong understanding of statistical analysis, predictive modeling methodologies, and model lifecycle management.
Experience working within regulated financial institutions and environments subject to model governance requirements.
Deep understanding of finance, credit risk, lending products, and banking operations.
Ability to interpret business requirements and translate them into analytical and modeling solutions.
Strong analytical, problem-solving, and critical thinking skills.
Excellent written and verbal communication skills with the ability to present complex concepts to a variety of audiences.
Exceptional attention to detail and commitment to delivering accurate and timely results.
Demonstrated ability to manage multiple priorities and deadlines in a fast-paced environment.

Nice To Haves

Experience supporting both Consumer and Commercial lending portfolios.
Experience developing models used for CECL, stress testing, underwriting, loss forecasting, or profitability analysis.
Experience supporting model validation activities and regulatory examinations.
Knowledge of model risk management frameworks and regulatory expectations.
Experience collaborating with cross-functional teams including Finance, Risk, Credit, Treasury, IT, and Data organizations.
Strong stakeholder management and project leadership capabilities.
Ability to identify opportunities for process improvements and implement scalable analytical solutions.
Advanced degree in a quantitative discipline.

Responsibilities

Lead the development, enhancement, maintenance, and periodic refresh of Combined Bank CECL models used to calculate the Bank’s allowance for credit losses.
Manage and process large-volume historical datasets to support CECL model development, testing, and monitoring.
Lead support for Business Credit Center (BCC) Auto Decision and Auto Renewal model development and maintenance.
Support the development, enhancement, and monitoring of Dual Risk Rating (DRR) models.
Apply advanced statistical and predictive modeling techniques to forecast losses, support credit decisioning, and improve portfolio performance.
Maintain rigorous model development workpapers and documentation in accordance with governance, audit, and regulatory standards.
Support CECL, DRR, and BCC model validation activities, annual reviews, performance monitoring, and remediation efforts.
Support quarterly and ad hoc CECL production runs, including data preparation, analysis, reconciliation, and reporting.
Collaborate with Finance, Risk, Credit, Treasury, IT, Data Management, and business stakeholders to gather requirements and implement analytical solutions.
Design, develop, and maintain source code supporting predictive models, loss forecasting, profitability analysis, and credit risk management.
Communicate model methodologies, assumptions, limitations, and results to technical and non-technical stakeholders.