Lead Data Scientist - Regulatory Analytics & Testing

Truist; Atlanta (GA); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, vision

Life insurance and disability

401k plan

Vacation and sick days

Job summary

Truist Financial Corporation is seeking an experienced data scientist to perform advanced analytics on diverse data sources and deliver end-to-end data science solutions. You will mentor juniors and collaborate with cross-functional partners to create measurable business value.

The role requires deep knowledge in statistics, ML, programming (Python/R/SAS) and data visualization, plus experience with Hadoop/Spark and regulatory contexts. Visa/relocation not specified.

Qualifications

• Bachelor’s degree in Finance, Mathematics, Analytics, Data Science, CS or Engineering.
• Six years of related data analytics experience.
• Domain expertise in banking/fintech, risk management, or regulation.
• Knowledge of statistics, programming, ML, model development, visualization.
• Experience with Hadoop, Pig, Hive, NoSQL, Spark.
• Experience managing multiple projects or leading teams.

Responsibilities

• Perform sophisticated data analytics on structured and unstructured data.
• Own end-to-end data science solution design and delivery with measurable outcomes.
• Provide analytical consulting and mentor junior teammates.
• Co-design optimal data science solutions with cross-functional teams.
• Lead analytics initiatives and drive risk-aware practices.

Skills

Data analytics

Statistical methods

Python / R / SAS

Machine learning

Data visualization

Hadoop / Spark / NoSQL

Project leadership

Regulatory knowledge

Education

Bachelor’s degree in a quantitative field

Master’s degree or PhD preferred

Tools

Hadoop

Pig

Hive

NoSQL

Spark

Job description

Truist Financial Corporation is seeking an experienced data scientist to perform advanced analytics on diverse data sources and deliver end-to-end data science solutions. You will mentor juniors and collaborate with cross-functional partners to create measurable business value.

The role requires deep knowledge in statistics, ML, programming (Python/R/SAS) and data visualization, plus experience with Hadoop/Spark and regulatory contexts. Visa/relocation not specified.