Job Description

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Join to apply for the Director Data Scientist Modeler, Financial Analytics role at Webster Bank

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!

The role involves gathering and understanding FP&A business requirements; Webster’s data systems and tools; model purpose and use; applying sophisticated statistical analysis to large data sets to satisfy business requirements; designing coding and maintaining new and existing models; anticipating and resolving challengers to model design and use; participating in model documentation and validation; and clearly communicating results. The scope of the role includes internally developed consumer and commercial credit models used for CECL/loss-reserving, stress-testing, and underwriting. The primary job function is to collaborate with Finance, Risk, Credit, Treasury, IT, Data Team, model risk management team, and LoB partners in developing source code implementing predictive analytical models to forecast losses & profitability, inform credit decisions and increase revenue.

Key Responsibilities

• Lead/Build/develop and maintain/refresh the Combined Bank CECL models for calculating the reserves for the Bank
• Manage/Process large volume historical data set for the CECL model development
• Lead to support BCC auto decision and Auto Renewal models development and maintenance
• Support Dual Risk Rating (DRR) models development and maintenance
• Maintain rigorous work papers during the model development process
• Support CECL, DRR, and BCC models validation and model annual review
• Support CECL production run
• Candidates with advanced degrees (Associates, Bachelor’s, Master’s, and/or PhD) in finance, mathematics, or statistics preferred, yet a High School diploma or GED is required. Candidates with some combination of coursework and experience, or extensive related professional experience, are eligible for consideration.
• 10+ years of related credit, modeling, and management experience, ideally both Consumer and Commercial lending.
• Significant experience in working with large and complex data sets
• Experience within regulated entities, and ideally within team(s) with direct impact to publicly reported results. In depth understanding of finance, risk, analytics, and statistical modeling. SAS and/or Python experience preferred.
• Exceptional attention to detail related to providing accurate and timely data

The estimated base salary range for this position is $151,100 USD to $182,200 USD. 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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Banking, Financial Services, and Investment Banking

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