Lead Data Scientist: Regulatory Analytics & Risk Modeling

NAACPJobFinder; Charlotte (NC); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k plan

Paid vacation and sick days

Job summary

Truist Financial Corporation is seeking a Lead Data Scientist for Regulatory Reporting & Data Testing. The role focuses on sophisticated analytics, mentoring junior scientists, and guiding cross-functional analytics initiatives to reduce risk and improve business outcomes.

On-site five days a week, the position emphasizes leadership, advanced modeling, and collaboration with business partners to implement data-driven strategies in a banking environment.

Qualifications

• Bachelor’s degree in a quantitative field; six years of related experience.
• Domain expertise in banking/financial services and regulatory topics.
• Proficiency in statistics, programming (Python/R/SAS), ML, and data visualization.
• Experience with data governance, data lineage, and risk management.

Responsibilities

• Lead advanced analytics initiatives and mentor junior data scientists.
• Provide analytical consulting to business leaders and stakeholders.
• Design end-to-end data science solutions and ensure delivery outcomes.
• Coordinate across teams on data governance and risk controls.
• Drive hiring, onboarding and ongoing coaching of teammates.

Skills

Data analytics

Machine learning

Leadership

Mentoring

Consulting

Data visualization

Python

R

SAS

Statistics

Communication

Project management

Team leadership

Education

Bachelor’s degree in quantitative field

Master’s degree or PhD in quantitative field

Tools

Hadoop

Pig

Hive

NoSQL

Spark

Job description

Truist Financial Corporation is seeking a Lead Data Scientist for Regulatory Reporting & Data Testing. The role focuses on sophisticated analytics, mentoring junior scientists, and guiding cross-functional analytics initiatives to reduce risk and improve business outcomes.

On-site five days a week, the position emphasizes leadership, advanced modeling, and collaboration with business partners to implement data-driven strategies in a banking environment.