Manager, Financial Analytics

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!

• 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.

• 3+ years of industry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.
• Experience working with complex data structures within a RDMS (Oracle, SQL).
• Proficient in Python/SAS Programming Language.
• Knowledge of advanced statistical techniques and concepts and experience with applications.
• Experience 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.

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

• 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 base salary range for this position is $105,000 USD to $120,000 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.

#L1-JS1

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.