As an individual contributor, you will independently drive analytics projects and execute against the objectives of the assigned business group. Utilizing an interdisciplinary approach that leverages concepts from business, applied statistics and math, operations research, information technology, process design, and behavioral sciences, you will support consultative partnerships. The goal is to align with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions, driving quantifiable, optimized business results in support of company goals.

Essential Duties and Responsibilities

The following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

Act as a Senior Decision Scientist, focusing on high-impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
Work independently on target initiatives to drive decision science projects, utilizing quantitative analysis techniques, including machine learning, to achieve business optimization and impact.
Foster communication and partnership across multiple levels of the organization, including engagement with mid-level managers. Build trust with partners while supporting efforts aligned with LOB and company goals.
Pursue business outcomes that increase revenue and/or efficiency by leveraging data-driven insights powered by analytics, enhancing decision-making, and focusing on continuous improvement.
Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
Exercise sound judgment and risk management, and foster a client-centric culture throughout the design, development, and deployment practices.

Qualifications

Required Qualifications:

The requirements listed below represent the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Demonstrated combination of academic aptitude, quantitative skills, business acumen, and working knowledge of transaction processing application software, application processing systems, and collection inventory systems.
Strategic and creative thinking with excellent written and verbal communication skills.
Bachelor’s degree or equivalent education and related training or experience, plus 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering.
2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results.
Ability to perform as a role model in a cross-functional and collaborative team environment, supporting business partners with enhanced insights.
Proven ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact.
Innovative and strategic thinker with the ability to connect to practical applications, providing leadership on target initiatives with a strong bias toward action and quantifiable business impact.
Experience managing multiple projects with tight deadlines in a collaborative environment to drive maximum impact.
Competency in statistical and analytical principles, tools, and techniques. Champion the application of emerging decision science techniques with business partners.
Understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Preferred Qualifications:

Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering.