Senior Quant Analyst

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!

Primary Responsibilities

• Develop expert knowledge and experience with Webster’s data systems and tools.
• Develop strong relationships with Webster lines of business, Finance, Treasury, 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 CECL Quarterly Production Process and Annual Refresh.
• Analyze and organize large datasets 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.
• Design and develop Data Workflows, Reports and Dashboards
• Collaborate with cross-functional teams to understand data requirements and implement effective solutions.
• Work with external data sources, APIs.
• Implementation of Data Science solutions.

Required Skills & Experience

• 4+ years of industry experience in Software Development, Data Science, Data Engineering, or related field.
• Experience working with complex data structures within a RDMS (Oracle, SQL).
• Proficient in Python/SAS Programming Language.
• Some business knowledge and familiarity with commercial & consumer banking products, operations, and processes, or risk & finance background/experience.
• Experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms.
• Experience with Data Science project implementation.
• Knowledge of advanced statistical techniques and concepts and experience with applications.
• A drive to learn and master new technologies and techniques.
• Documenting requirements as well as resolving conflicts or ambiguities.
• 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.
• Time management skills are needed to prioritize multiple tasks.
• Strong ability with standard office tools such as Excel/VBA, PowerPoint, and Word.

Preferred Skills & Experience

• Experience with one or more cloud-based computing platforms: AWS, Azure, GCP.
• Experience in designing efficient and robust data workflows (e.g.- Apache Airflow).
• Knowledge in Reporting and Dashboarding tools (e.g.- Tableau, Qlik Sense).
• 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.
• Experience in integrating automated unit test cases and code scanning tools with CI/CD pipeline (E.g. – GitLab).

Education 

• Bachelors, Masters’ in econometrics, 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 $95,000 USD to $104,000 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.

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.