Fraud Data Scientist II: Risk Analytics & ML Insights

Truist; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

401k plan

Paid vacation

Job summary

Truist in Charlotte, NC invites a data scientist to perform sophisticated analytics, including econometrics, ML, and NLP, to deliver actionable insights that inform business decisions and reduce risk. You will communicate findings through compelling visuals and collaborate with leaders across the organization to translate analytics into strategy.

The role requires a strong foundation in statistics, programming (Python, R, SAS), data cleansing, and experience with big data tools; you will manage

Qualifications

• Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
• Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
• Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
• Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
• Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• Experience in managing multiple projects with tight deadlines in a collaborative environment

Responsibilities

• Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data
• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
• Engage in stakeholder meetings to identify business objectives and scope solution requirements
• Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications
• Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets
• Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities
• Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities

Skills

Statistics

Econometrics

Machine Learning

Python

R

Data Visualization

Stakeholder Communication

Data Governance

Regex

Education

Bachelor’s degree in quantitative field

4+ years experience in analytics/data science

Master’s or PhD preferred

Tools

SQL

JQuery

Hadoop

Pig

Hive

NoSQL

Spark

Job description

Truist in Charlotte, NC invites a data scientist to perform sophisticated analytics, including econometrics, ML, and NLP, to deliver actionable insights that inform business decisions and reduce risk. You will communicate findings through compelling visuals and collaborate with leaders across the organization to translate analytics into strategy.

The role requires a strong foundation in statistics, programming (Python, R, SAS), data cleansing, and experience with big data tools; you will manage