Full-Time

Decision Scientist III

SAS/SQL Required, Remote Flexibility

Confirmed live in the last 24 hours

Truist

Truist

501-1,000 employees

Platform for Registered Investment Advisors' operations

Fintech
Financial Services

Mid, Senior

Remote in USA

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Python
R
IBM Db2
SQL
Tableau
Oracle
Data Analysis
Requirements
  • 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 related training or experience and 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
  • Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
  • Demonstrated ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact
  • Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
  • Experience in managing multiple projects with 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. Champion application of emerging decision science techniques with business partners
  • 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)
Responsibilities
  • As a Senior Decision Scientist, act as a force multiplier, with a 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 to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
  • Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers. Maximize relationships and build trust with partners while supporting efforts aligned to LOB and company goals.
  • 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.
  • Champion the use of 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.

Truist offers a platform for Registered Investment Advisors (RIAs) to improve their operations and client services. The platform includes tools like live chat support, commission-free trading, and an automated rebalancer, allowing RIAs to manage their businesses more efficiently and serve more clients at lower costs. Unlike competitors, Truist provides these services for free and monetizes through a custodian service that helps RIAs reduce overhead. The goal is to empower RIAs to grow their businesses and enhance client experiences.

Company Stage

Series E

Total Funding

$437.2M

Headquarters

Culver City, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

24%

1 year growth

38%

2 year growth

74%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $169M Series E funding round indicates strong investor confidence and provides substantial capital for further innovation and expansion.
  • Collaborations with leading providers like Orion Advisor Solutions and Kwanti enhance Altruist's platform capabilities, making it more attractive to RIAs.
  • Acquiring Shareholders Service Group expands Altruist's service offerings and client base, positioning it to compete with industry giants like Schwab and Fidelity.

What critics are saying

  • The competitive landscape in the RIA market includes established players like Schwab and Fidelity, which could challenge Altruist's growth and market penetration.
  • Rapid expansion and multiple integrations may lead to operational complexities and potential service disruptions.

What makes Truist unique

  • Altruist offers a simplified tech stack specifically designed for RIAs, unlike broader financial platforms that cater to multiple financial service providers.
  • Their commission-free fractional share trading and automated rebalancer features provide cost-effective solutions that are not commonly bundled together in competing platforms.
  • The vertically-integrated custodian service allows Altruist to streamline operations and reduce overhead costs for RIAs, setting it apart from traditional custodial services.

Help us improve and share your feedback! Did you find this helpful?