Data Scientist II - Fraud Reporting

Truist Bank • Charlotte, NC

1d • Onsite

About The Position

Perform sophisticated analytics, including statistical and predictive analytics and machine learning modeling, to provide actionable insights that improve business outcomes and minimize risk. Consult with business leaders and stakeholders on using analytics insights and building strategies around analytics. This is a fully on-site position based in Charlotte, North Carolina, with teammates expected in the office five days a week. The position requires English fluency. Truist will not provide visa sponsorship, employment authorization, or other immigration-related support for this position.

Requirements

• 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.
• Understanding of statistical methods, including 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 and differential equations, with an understanding of stochastic processes.
• Understanding of data cleansing and preparation methodologies, including regular expressions, filtering, indexing, interpolation, and outlier treatment.
• Strong familiarity with data extraction in a variety of environments, such as SQL and JQuery.
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL and Spark.
• Experience managing multiple projects with tight deadlines in a collaborative environment.
• English fluency is required.

Nice To Haves

• Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
• Previous experience in the banking or fintech industry.

Responsibilities

• Independently perform sophisticated data analytics, from classical econometrics to machine learning, neural networks, and natural language processing, using structured and unstructured data in a variety of environments.
• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
• Own end-to-end data science solution design and technical delivery, and be accountable for measurable business outcomes.
• Engage stakeholders to identify business objectives and scope solution requirements.
• Write, document, and deploy custom code in environments such as Python, SAS, and R to create predictive analytics applications.
• Use, maintain, share, and collaborate through Truist internal code repositories to support continual learning and cross-pollination of skills.
• Research emerging data science methods and technologies and advocate for their adoption to advance Truist’s capabilities.
• Apply sound judgment and promote risk management throughout design, development, and deployment; partner with cross-functional teams on data usage rules, data governance, and analytics capabilities.

Benefits

• Medical, dental, and vision insurance.
• Life insurance and disability insurance.
• Accidental death and dismemberment coverage.
• Tax-preferred savings accounts.
• 401(k) plan.
• At least 10 days of vacation during the first year of employment, prorated based on hire date and full-time or part-time status.
• 10 sick days, prorated.
• Paid holidays.
• Depending on position and division, eligibility for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level