Data Scientist II — Compliance & Fair Lending Analytics

Truist; Raleigh (NC); On-site; USD 88,000 - 110,000; Full time

Benefits offered by this job

Medical, dental, vision

401k plan

Vacation and sick days

Paid holidays

Job summary

Truist seeks a Compliance Data Scientist II to support risk management for Fair Banking regulations. You will act as data expert, liaise with BU data teams, and collaborate with model developers to assess compliance using advanced analytics.

Responsibilities include designing predictive analytics, building visualizations, and advising business leaders on analytics strategies to reduce risk and improve outcomes.

Qualifications

• Bachelor’s degree in a quantitative field and 4+ years of related experience.
• Strong understanding of statistics, econometrics, time-series and statistical tests.
• Familiarity with linear algebra, calculus; understanding stochastic processes.

Responsibilities

• Perform advanced data analytics using econometrics, ML, NLP on structured and unstructured data.
• Create data visualizations to communicate insights to stakeholders.
• Own end-to-end data science solutions from design to deployment in collaboration with teams.
• Write and deploy code in Python, SAS, R to build predictive analytics apps.
• Collaborate via internal code repositories and advocate new methods and technologies.

Skills

Data analytics

Econometrics

Machine learning

Statistics

NLP

Time-series

Stochastic processes

Regex

Data visualization

Education

Bachelor's degree in quantitative field

Master's or PhD (preferred)

Tools

SQL

JQuery

Hadoop

Pig

Hive

Spark

NoSQL

Job description

Truist seeks a Compliance Data Scientist II to support risk management for Fair Banking regulations. You will act as data expert, liaise with BU data teams, and collaborate with model developers to assess compliance using advanced analytics.

Responsibilities include designing predictive analytics, building visualizations, and advising business leaders on analytics strategies to reduce risk and improve outcomes.