Job Details
Support analytics initiatives and execute against the objectives of the assigned business group as an individual contributor. Using an interdisciplinary approach that incorporates concepts from business, applied statistics and math, operations research, information technology, process design, and behavioral sciences, the incumbent will collaborate with internal teammates and work independently to generate analytic insights that assist the Line of Business (LOB) in making informed, data-driven decisions. The objective is to achieve quantifiable, optimized business results in support of the company’s objectives.
Responsibilities and Duties
The following is a concise list of the critical responsibilities of this position. Additional responsibilities, both significant and minor, may be executed, but they are not specified below. From time to time, specific activities may undergo modifications.
- As a Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
- Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
- Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
- Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
- Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
- Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers.
Qualifications
- The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills.
- Bachelor’s degree or equivalent education and 3+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
- Must be able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights.
- Innovative and strategic thinker with ability to connect to practical application, providing recommendations on target initiatives, with a strong bias to action and focus on quantifiable business impact.
- Experience in delivering insights against tight deadlines in a collaborative environment to drive maximum impact.
- Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques.
- Incumbent should have an 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 in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
- 6+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
- 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results if candidate lacks a graduate degree.
