Decision Scientist II

Job Summary

Act as an individual contributor supporting analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data‑driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.

• Focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments and products.
• Partner on target initiatives; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning.
• Pursue business outcomes through increased revenue and/or efficiency, providing data‑driven insights for enhanced decision‑making.
• 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.

• The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, knowledge of transaction processing application software, application processing systems and collection inventory systems, strategic and creative thinking, and excellent written and verbal communication 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 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.
• 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, Micro Strategy) and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

• 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.

All regular teammates working 20 hours or more per week are eligible for benefits, including medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts and a 401(k) plan. Teammates also receive no less than 10 days of vacation and 10 sick days (pro‑rated) and paid holidays. Depending on the position and division, the job may also be eligible for a defined benefit pension plan, restricted stock units and/or a deferred compensation plan.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. Truist is a Drug Free Workplace.