Senior Quant Analyst - Stamford, United States - Webster Bank

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

Required Skills & Experience

• 1-3 years of industry experience in Software Development, Analyst, 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 in Reporting and Dashboarding tools (e.g.- Tableau, Qlik Sense).
• Experience with design, coding, and testing patterns as well as engineering software platforms and large-scale data infrastructures.
• Experience with Data Science project implementation.
• 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).
• 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 in econometrics, statistics, data science, computer science or other STEM fields (e.g., physics, math, engineering, etc.)
• Finance or Business degree with strong quantitative and programming background also acceptable.

The estimated salary range for this position is $85,000USD to $100,000USD. 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.