Therole plays a key role in bridging business objectives with data-driven insightsat Webster. This positionis responsible for understanding and translating complex business requirements into analytical solutions, leveraging Webster’sdatasystems andtools,designing coding and maintaining data workflows.The role involves overseeing the integration and processing of both structured and unstructured data sourcesto enhance data usability. Theindividual needs to collaborate withIT, DataTeam,and LoBpartners in developing dataworkflows,dataanalysisandreporting. The 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 partnersto 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 supportDual RiskRatingmodel building, monitoring and model refresh.

• Analyze and organize largestructured and unstructureddata 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 objectivesand implement effective solutions.

• Work with external data sources, APIs.

Required Skills & Experience 

• 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. 

Preferred Skills & Experience 

• 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.  

• Experiencein 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”andprovide 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.