Manager, Financial Analytics

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.
• 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.
• Absorb and communicate changes to data structure, content and logic that has impact on 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 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.
• Ingenious, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.
• Tech-savvy, proactive, and enthusiastic, with good attention to details.
• Prioritization, meeting deadlines, and adapting 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.
• 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.

Pay

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.