Decision Scientist I

Truist Bank • Charlotte, NC

2d

About The Position

As an entry level individual contributor, support analytics projects and execute 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.

Requirements

• The incumbent must demonstrate a combination of academic aptitude, quantitative skills, strategic and creative thinking, and excellent written and verbal communications skills
• Bachelor’s degree or equivalent education and zero to 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
• Ability to maintain 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)

Nice To Haves

• Master’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
• Prior internship experience in applied decision sciences, preferably in banking or finance
• 4+ years of relevant work experience if candidate lacks a graduate degree

Responsibilities

• As an entry level 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.
• 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 team including engagement with the leadership team.

Benefits

• Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates.
• Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays.
• Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees