Data Scientist I - Card Fraud

Fayette Chamber of Commerce; Atlanta (GA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401k plan

Vacation days

Sick days

Paid holidays

Job summary

Truist Financial Corporation is seeking a Data Scientist I to support card fraud and token provisioning initiatives, enabling secure digital payments across Apple Pay, Google Pay, and wallet tokenization. You will analyze data, build models, and deliver actionable insights to reduce fraud and enhance user experiences.

The role requires strong analytics skills, programming in Python/SAS/R, and collaboration with cross-functional teams to deploy predictive solutions.

Qualifications

• Bachelor's degree in a quantitative field with up to four years of experience or equivalent
• Strong foundation in statistics, econometrics, time-series, and tests
• Knowledge of optimization, calculus, and stochastic processes
• Experience cleansing and preparing data (regex, filtering, interpolation, outliers)
• Experience data extraction in SQL, jQuery, and similar environments
• Familiarity with Hadoop, Pig, Hive, NoSQL, Spark

Responsibilities

• Perform advanced analytics from econometrics to machine learning on diverse data
• Create visualizations to communicate insights to stakeholders
• Own end-to-end data science solution design and delivery
• Engage with stakeholders to define objectives and requirements
• Develop predictive analytics applications using Python, SAS, or R
• Collaborate via internal code repositories and share learnings
• Research and advocate new data science methods and technologies

Skills

Statistical methods

Linear algebra concepts

Data cleansing and preparation

Data extraction (SQL/JQuery)

Big data technologies (Hadoop/Pig/Hive

NoSQL/Spark

Education

Bachelor's degree in a quantitative field

Master's or PhD in quantitative fields (preferred)

Tools

Python

SAS

R

Job description

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

Job Grade: 109

Please review the following job description:

Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business We are seeking Data Scientist I to support card fraud and token provisioning initiatives, with a focus on digital payment security across mobile and digital wallet platforms (e.g., Apple Pay, Google Pay, Samsung Pay, and merchant tokenization). This role will contribute to detecting, analyzing, and mitigating fraud risk while supporting secure transaction experiences.

For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

Essential Duties and 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.
• With minimal guidance, 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 fosters 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.

Required Qualifications

• Bachelor's degree and zero to 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

Preferred Qualifications

• Master's degree or PhD in quantitative fields such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
• Four years of relevant work experience if candidate lacks graduate degree
• Previous experience in the banking or fin-tech industry

The annual base salary for this position is $$80,000 – $100,000

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.