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Full Time Fraud Data Scientist Jobs (NOW HIRING)

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

They are seeking a Fraud Data Product Owner to lead the transformation of fraud detection and ... Required : • Bachelor's Degree in Computer Science, Data Science, Business or a related field • ...

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... fraud detection, and risk identification across large, complex tax and financial data environments.

... fraud teams to make more informed, data-driven decisions. Essential Responsibilities: * Lead and manage data science projects, ensuring timely delivery and alignment with business goals. * Develop ...

Staff Data Scientist, Fraud

Chicago, IL · On-site

$160K - $238K/yr

... fraud teams to make more informed, data-driven decisions. Essential Responsibilities: * Lead and manage data science projects, ensuring timely delivery and alignment with business goals. * Develop ...

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

TIAA is seeking a Lead Data Scientist to join our Fraud Data Analytics and AI Strategy team. In this role, you will sit at the intersection of advanced analytics, generative AI development and fraud ...

Data Scientist

Westlake, TX · On-site

$83K - $158K/yr

Fraud Risk & Control Detection Team is looking for aData Scientist to join a growing team. The team ... full-time onsite working model through a phased rollout across regions and roles. Currently, some ...

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Full Time Fraud Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do full time fraud data scientist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for full time fraud data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a Full Time Fraud Data Scientist typically collaborate with other departments to develop effective fraud detection solutions?

A Full Time Fraud Data Scientist often works closely with teams such as engineering, product management, and fraud operations. Collaboration involves sharing insights from data analysis, discussing fraud patterns, and working together to design and implement detection algorithms. Regular cross-functional meetings are common, allowing data scientists to understand the needs of other teams and ensure that models are practical and aligned with business goals. This collaborative environment helps to rapidly identify emerging threats and continuously improve fraud prevention strategies.

What are the key skills and qualifications needed to thrive as a Full Time Fraud Data Scientist, and why are they important?

To thrive as a Full Time Fraud Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a relevant degree in fields like computer science, mathematics, or data science. Familiarity with programming languages such as Python or R, experience with big data platforms (e.g., Hadoop, Spark), and knowledge of fraud detection tools or frameworks are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills are crucial for identifying fraudulent activities accurately and efficiently, protecting organizations from financial losses and reputational damage.

What does a Full Time Fraud Data Scientist do?

A Full Time Fraud Data Scientist is responsible for analyzing large datasets to detect and prevent fraudulent activities within an organization. They use statistical models, machine learning algorithms, and data mining techniques to identify suspicious patterns and anomalies. Their work helps develop automated systems that flag or stop fraudulent transactions in real-time. Additionally, they collaborate with other teams such as cybersecurity, risk management, and compliance to ensure robust fraud detection and prevention strategies.
More about Full Time Fraud Data Scientist jobs
What cities are hiring for Full Time Fraud Data Scientist jobs? Cities with the most Full Time 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 Full Time Fraud Data Scientist jobs? States with the most job openings for Full Time Fraud Data Scientist jobs include:
Infographic showing various Full Time Fraud Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Fraud Data Scientist II

Fraud Data Scientist II

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Truist rating

7.9

Company rating: 7.9 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

78th of 170 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 outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.

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.
1. 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.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. 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.


QUALIFICATIONS
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.
1. 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
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. 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
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%

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

Sourced by ZipRecruiter

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