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Overnight Fraud Data Scientist Jobs (NOW HIRING)

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts ...

Bill.com

Fraud Strategy Data Scientist

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve ...

P2P

Data Scientist - Fraud Risk

Manhattan, NY · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Background in identity risk, AML, payments fraud, or compliance analytics * Fluency in AI‑assisted data analysis / data science tooling Things that enable a fulfilling, healthy, and happy ...

BILL

Fraud Strategy Data Scientist

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve ...

Rain

Data Scientist - Fraud Risk

New York, NY · On-site +1

$50K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Background in identity risk, AML, payments fraud, or compliance analytics * Fluency in AI-assisted data analysis / data science tooling Things that enable a fulfilling, healthy, and happy experience ...

Suncoast Credit Union Careers

Senior Fraud Data Analyst

Tampa, FL · On-site +1

$75K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts ...

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Overnight Fraud Data Scientist information

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$46K

$165K

$243.5K

How much do overnight fraud data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for overnight fraud data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Fraud Data Scientist vs Fraud Analyst?

AspectOvernight Fraud Data ScientistFraud Analyst
CredentialsBachelor's/Master's in Data Science, Statistics, or related fieldBachelor's in Criminal Justice, Finance, or related field
Work EnvironmentData-driven, analytical, often remote or night shiftsCustomer service, investigation, on-site or remote during business hours
Industry UsageFinancial institutions, e-commerce, fintech companiesBanking, credit card companies, retail
Search/Comparison IntentUnderstanding technical data roles in fraud detectionOperational fraud investigation and customer support

The Overnight Fraud Data Scientist focuses on analyzing large datasets to develop models that detect fraud, often working overnight or remotely. In contrast, a Fraud Analyst typically investigates suspicious activity, reviews alerts, and interacts with customers during regular hours. Both roles are essential in fraud prevention but differ in technical expertise, work hours, and daily responsibilities.

How does an overnight fraud data scientist interact with other teams to detect and prevent fraud?

Overnight Fraud Data Scientists often work closely with fraud analysts, risk management teams, and IT professionals to monitor suspicious activity in real time. They are responsible for analyzing transaction data, developing detection models, and rapidly communicating findings to relevant stakeholders, even outside regular business hours. This collaboration ensures that fraud is identified and addressed promptly, minimizing potential losses for the organization. Being proactive and having strong communication skills are essential for effective teamwork in this fast-paced environment.

What skills and qualifications are needed to be an overnight fraud data scientist?

To excel as an Overnight Fraud Data Scientist, you need a strong background in statistics, machine learning, data analysis, and a relevant degree in fields such as computer science or mathematics. Familiarity with programming languages like Python or R, experience using big data platforms (e.g., Hadoop, Spark), and knowledge of fraud detection systems are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate across teams. These competencies are crucial for identifying fraudulent activity quickly and accurately during overnight hours to protect organizational assets and minimize risk.

What does an overnight fraud data scientist do?

An Overnight Fraud Data Scientist is responsible for analyzing transaction data and monitoring for fraudulent activity during nighttime hours when fewer staff are present. They use statistical models, machine learning, and data analysis tools to detect unusual patterns that may indicate fraud, helping organizations minimize risk and financial losses. Their role often involves real-time monitoring, rapid response to alerts, and collaborating with other teams to improve detection systems. Overnight shifts are crucial as fraudulent activities may spike outside typical business hours, requiring constant vigilance.

What cities are hiring for Overnight Fraud Data Scientist jobs?

Cities with the most Overnight Fraud Data Scientist job openings:

What are the most commonly searched types of Fraud Data Scientist jobs?

The most popular types of Fraud Data Scientist jobs are:

What states have the most Overnight Fraud Data Scientist jobs?

States with the most job openings for Overnight Fraud Data Scientist jobs include:

Overnight Fraud Data Scientist jobs near you
Infographic showing various Overnight Fraud Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist I - Card Fraud

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Truist rating

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
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.
The ideal candidate will bring experience in card fraud, digital fraud, or related risk domains, along with strong technical skills in SAS, SQL, and programming for data analysis and modeling. Exposure to tokenization or digital wallet technologies is preferred but not required.
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:
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
  • 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:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • 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.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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About Truist

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Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019

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