Managing Director, Financial Analytics - 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 Managing Director, Financial Analytics role involves gathering and understanding FP&A business requirements; leading a team of analysts; organizing and leading inter-departmental meetings; leveraging Webster’s data systems and tools; designing coding and maintaining data workflows; anticipating and resolving data challenges; creating user-friendly reports and dashboards; and clearly communicating results. The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models. The FAST MD role is right for you if you’re a "hands-on" coder and analyst, who welcomes a challenge, takes ownership, possesses sound business judgement, and aspires to Analytics management.

Primary Responsibilities

• Research, dimension and manage the scope, nature, business implications, workflow, calendar, data, personnel and time requirements for development, implementation, and maintenance of credit loss underwriting models to support the bank’s stress-testing, regulatory reserving, and underwriting.

• Personally participate in the development, coding, implementation, and maintenance of models.

• Develop expert knowledge and experience with Webster’s data systems and tools.

• Maintain rigorous work papers during the model development process. Author reports documenting the design, development, testing and use of new models, and changes to existing models.

• Develop strong relationships with Webster lines of business, Finance, Risk & IT partners, ensuring software development and support requirements are met.

• Lead and/or participate in Model Risk Management, Executive Management, Audit, Regulatory, and inter-departmental strategic and tactical planning & progress meetings.

Required Skills & Experience

• 5-10 years of modeling/analytical experience within a commercial bank or financial institution.

• Solid knowledge of statistical theory, in particular general linear models, categorical data analysis, time-series estimation, algorithmic optimization, supervised and unsupervised machine learning.

• Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). Experience working with complex data structures. Ability to apply methods to real-world problems.

• Strong ability with standard office software such as Excel/VBA, PowerPoint, Tableaux and Word.

• Good business knowledge and familiarity with commercial and consumer banking products, operations, and processes.

• Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.

• Time management skills are needed to prioritize multiple tasks.

Preferred Skills & Experience

• Model development or validation experience with Credit Risk Underwriting models/scorecards.

• Model development or validation experience with stress-testing/DFAST and/or CCAR/CECL

• Experience managing a team of high-performing Data Scientists and/or Quantitative Analysts.

• Experience with one or more cloud-based computing platforms: AWS, Azure, GCP.

• Experience in designing efficient and robust data workflows.

• Experience in developing constructive relationships with a wide range of different stakeholders.

• Good written and verbal communication skills, and ability to multitask.

• Ability to independently gather data from various sources and conduct research.

• Ability to think "out of the box" and provide suggestions on ways to improve the process.

Education

• Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (e.g., physics, math, engineering, etc.) Finance or Business MS/MBA with strong quantitative and programming background also acceptable.

The estimated salary range for this position is $160,000USD 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.

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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.