What are the responsibilities and job description for the Rotational Analyst - Enterprise Data Science position at Webster Bank?
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.
Salary : $70,000 - $80,000
