Director Financial Analytics

Posted 4 Days Ago
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Stamford, CT, USA
In-Office
165K-180K Annually
Expert/Leader
Fintech • Consulting • Financial Services
The Role
Lead development, maintenance, and governance of CECL, BCC Auto Decision/Auto Renewal, and DRR credit risk models. Manage large datasets, build predictive loss-forecasting models, support model validation and regulatory requirements, run CECL production, and communicate results to stakeholders while collaborating across Finance, Risk, Credit, Treasury, IT, and Data teams.
Summary Generated by Built In

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, Excellence are Webster’s values, these 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!

Job Description Summary
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.
Primary 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.

Required Skills & Experience

  • 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.

Preferred Skills & Experience

  • 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.

Education

  • Bachelor’s degree in Finance, Mathematics, Statistics, Economics, Data Science, Computer Science, Engineering, or a related quantitative field required.

  • Master’s degree or PhD in Finance, Mathematics, Statistics, Economics, Data Science, or a related quantitative discipline preferred.

  • Candidates with a combination of advanced quantitative coursework and relevant professional experience will also be considered.

The estimated salary range for this position is $165,000USD to $180,000USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.

Webster Financial Corporation and its subsidiaries (“Webster”) are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

Skills Required

  • 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 ability to present complex concepts
  • 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
  • Bachelor's degree in Finance, Mathematics, Statistics, Economics, Data Science, Computer Science, Engineering, or related quantitative field
  • Experience supporting both Consumer and Commercial lending portfolios
  • Experience developing models 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
  • Strong stakeholder management and project leadership capabilities
  • Ability to identify opportunities for process improvements and implement scalable analytical solutions
  • Master's degree or PhD in a quantitative discipline

Webster Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Webster Bank and has not been reviewed or approved by Webster Bank.

  • Leave & Time Off Breadth PTO, holidays, and volunteer days are generous, with paid parental leave included to support time away needs. Flexibility such as hybrid/telecommuting options further strengthens time-off usability.
  • Healthcare Strength Health coverage spans medical, dental, and vision with HSA/FSA options, telemedicine, wellness incentives, health coaching, and an EAP. The offering is positioned as comprehensive within a broader Total Rewards framework.
  • Retirement Support Retirement programs include a company 401(k) match and an employee stock purchase plan. Financial education and employee banking discounts add to long‑term financial support.

Webster Bank Insights

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The Company
HQ: Stamford, CT
4,708 Employees
Year Founded: 1935

What We Do

Webster is a leading commercial bank that delivers financial solutions to business, individuals, families and partners. With more than $60 billion in assets, we offer digital and traditional service delivery through our differentiated lines of business: Commercial Banking, Consumer Banking and HSA Bank, one of the country’s largest providers of employee benefits solutions. Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity and affirmative action employers M/F/D/V. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law. © 2021 Webster Financial Corporation. All rights reserved. Webster Bank, the Webster Bank logo and the W symbol are trademarks of Webster Financial Corporation and Registered in the U.S. Patent and Trademark Office.

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