data
Posted YesterdayManager, Financial Analytics
at Webster Bank
Hybrid
Responsibilities
- 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.
- Document and communicate changes to data structure, content and logic that has impact on models.
- Collaborate with cross-functional teams to understand data
Requirements
- This role is right for you if you’re a “hands-on” coder and analyst, take ownership and sound business understanding. Primary
- experience with Webster’s data systems and tools.
- 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.
- 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 .
- Proven ability to manage multiple priorities, meet deadlines, and adapt to changing business needs in a fast-paced environment. Preferred Skills &
- 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 .
Experience
- Experience 3 + years of industry
- Experience 5+ years of industry
Benefits
- Ingenuity, analytical thinking, resourceful , persistent, pragmatic, motivated and socially intelligent.
- 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.
Additional details
- 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.
- 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 .