Rotational Analyst - Enterprise Data Science
Webster Bank

Job Description

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!

Job Summary:

The Webster Bank Rotational Program is an 18 month program designed to provide participants with progressively challenging work assignments in Enterprise Data Science department/COO vertical. Program participants will acquire business unit and organizational knowledge, gain exposure to senior leadership, have access to a formal mentor, and accelerate their development at Webster through structured learning programs.

Rotational Program Start Date: July 2025

Rotational Analyst - Enterprise Data Science

Location: Hybrid

Rotational locations include: Stamford, CT, New York

This posting is for the Non-Commercial track of the Webster Banking Rotational Program which consists of rotations in the areas of Enterprise Data Science.

Assignments Include:

1. Data Analytics and Reporting: Analyze customer data to identify trends and insights that can drive bank strategies and product development.

2. Data Engineering and Infrastructure: Collaborate on designing and building scalable data pipelines to support data ingestion for analytics and models. Assist in productionizing various models.

3. Customer Insights and Personalization: Utilize Machine Learning and AI techniques to segment customer data and provide insights into customer behaviors and preferences.

This structure allows the analyst to gain a broad understanding of data science applications within a banking context while developing valuable skills and insights across different functional areas.

Education, Skills, and Experience Requirements for Rotational:

• Recent bachelor's degree graduate from an accredited college or university in a related field with a desired GPA of 3.75 or higher.
  
• Interested in the banking and financial services industry and/or want to develop skills needed in Webster's Enterprise Data Science line of business which supports Consumer Bank, Commercial bank, Product, etc.
  
• Experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, a bonus if has knowledge of cloud-based Snowflake, AWS SageMaker and Power BI
  
• Knowledge of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.) and their real-world advantages/drawbacks.
  
• Knowledge of advanced statistical techniques and concepts and experience with applications.
  
• A drive to learn and master new technologies and techniques. Meticulous attention to detail.
  
• A motivated self-starter and knowledge seeker.
  
• Must demonstrate excellent written and oral communication skills.
  
• Must be a flexible, independent team player with a positive attitude and willingness to step-in and provide support as needed.
  
• Effectively engage and communicate with colleagues while working remotely.
  
• Ability to prioritize projects and tasks.
  
• Day to day tasks may include performing testing, controls, and procedures on special projects.
  
• Optional: A letter of recommendation from a professor or supervisor and/or an essay of approximately 500 words describing your career ambitions and why you are interested in this program.
  

The estimated salary range for this position is $70,000USD to $80,000USD. 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.

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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.

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