Manager, Financial Analytics

About this role

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 Financial Analytics Manager is responsible for the quarterly execution of the vendor models. This includes the preparation of CECL loan data across each of the relevant portfolios, coordination with data, credit, business line, and operations teams on any issues, and presenting the results to the CECL Committee and external auditors at least quarterly.

Th e   role   plays a key role in bridging busine ss objectives with data-driven insights   at Webster . This position   is responsible for understanding and translating complex business requirements into analytical solutions, leveraging   Webster’s   d ata   s ystems and   tools ,   designing coding and maintaining   data workflows .   The role involves overseeing the integration and processing of both structured and unstructured data sources   to enhance data usability.   The   individual needs to collaborate with   IT , Data   Team,   and   LoB   partners in developing   d ata   w orkflows,   d ata   a nalysis   and   r eport ing .   T he   Manager Financial Analytics   role designs and supports statistical and predictive models that inform strategic decision-making . This role   is right for you if you’re a “hands-on” coder   and analyst, take ownership and sound business understanding.  

Primary Responsibilities  

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

• Develop strong relationships with Webster lines of business, Finance,   Credit, Data,   Risk & IT partners   to ensure consistency and appropriateness of the team’s various processes and impact on FA models.   This includes changes to external systems, changes in database content and structure, and changes in applied methodology .  

• Execute and support   Dual Risk   Rating   model building, monitoring and model refresh.  

• Analyze and organize large   structured and unstructured   data to derive actionable insights and support decision-making   processes.  

• Assist FA team and collaborate internally.   Document and communicate changes to data structure, content and logic that has impact on models.  Assist in the coding and testing of changes to existing models.  

• Collaborate with cross-functional teams to understand data requirements , business objectives   and implement effective   solutions.  

• Work with external data sources, APIs.  

Required Skills   & Experience  

• 3 +   years of   industry   experience   in   Data Anal ytics,   Data Science ,   Data   Engineering,   Software Development   or related   field .  

• Experience working with complex data structure s   within a RDMS (Oracle , SQL ) .  

• Proficient in Python /SAS   Programming Language .  

• Knowledge of advanced statistical techniques and concepts and experience with applications.  

• E xperience   in   building , validating and deploying statistical or predictive models.  

• Strong   business knowledge and familiarity with   financial data systems and architecture.  

• Ability to interpret and translate business needs into analytical frameworks.  

• Strong analytical and problem-solving skills and ability to work in a collaborative team environment .  

• Excellent communication skills to convey complex technical concepts to non-technical stakeholders .  

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

• Technically oriented, proactive, and enthusiastic, with good attention to details .  

• Proven ability to manage multiple priorities, meet deadlines, and adapt to changing business needs in a fast-paced environment.  

Preferred Skills & Experience  

• 5+   years of   industry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.  

• Experience working with unstru ctured data   using advanced OCR and NLP techniques.  

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

• Experience   in designing efficient and robust data workflows   (e.g.- Apache Airflow) .  

• Experience in integrating automated unit test cases and code scanning tools with CI/CD pipeline (E.g. – GitLab) .  

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

• 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    

• Bachelors,   Masters ’   in statistics, data   science , 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 $110,000USD to $130,000USD. 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.

#LI-RK1 #LI-HYBRID

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 orie

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