Financial Analytics Manager

Webster Bank

Financial Analytics Manager overseeing vendor models and offering insights to drive business objectives. Collaborating with cross-functional teams to enhance data analysis and workflows for Webster bank.

Posted 7/24/2026full-timeStamford • Connecticut, New York • 🇺🇸 United StatesMid-LevelSenior💰 $110,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Analytics and Data Science, with proficiency in Python and SQL for building and validating predictive models. Strong ability to analyze complex data structures and collaborate with cross-functional teams to drive data-driven decision-making.

Highest-signal resume keywords

Data AnalyticsPython ProgrammingSQL Database ManagementStatistical ModelingCloud Computing (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringStatistical TechniquesPredictive ModelingData Workflow DesignAPIs Integration

Soft Skills

Analytical ThinkingProblem-SolvingCommunication SkillsCollaborationAdaptability

Tools & Technologies

OracleSASApache AirflowGitLabOCR TechniquesNLP Techniques

Industry Keywords

Financial Data SystemsData StructuresModel BuildingData AnalysisCross-Functional Collaboration

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudGoogle Cloud PlatformOraclePythonSQL

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.
Experience working with unstructured data using advanced OCR and NLP techniques (Preferred).
Experience with one or more cloud-based computing platforms: AWS, Azure, GCP (Preferred).
Experience in designing efficient and robust data workflows (e.g.- Apache Airflow) (Preferred).
Experience in integrating automated unit test cases and code scanning tools with CI/CD pipeline (E.g. – GitLab) (Preferred).
Experience in developing constructive relationships with a wide range of different stakeholders (Preferred).
Ability to independently gather data from various sources and conduct research (Preferred).
Ability to think 'out of the box' and provide suggestions on ways to improve the process (Preferred).

Benefits

Comp & perks

incentive compensation