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Manager Data Science - Fraud

Pay
USD 107,400–264,300/year — pay source
\#LI-Hybrid Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is USD $107,400.00 - USD $264,300.00 / Year* *Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.
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Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Own strategy, performance, and governance of the Fraud Prevention Platform and its controls

  • Drive real-time fraud decisioning across rules, models, and third-party risk signals

  • Run champion-challenger tests, A/B tests, and controlled rollouts for fraud controls

  • Monitor platform effectiveness on fraud losses, detection, false positives, and latency

  • Define and execute the roadmap to expand fraud decisioning across products and channels

From the employer’s posting
Own the strategy, performance, resilience, governance, and continuous evolution of the Fraud Prevention Platform (FPP) and its associated fraud controls.
Drive real-time fraud decisioning capabilities, including rules, models, AI-enabled detection capabilities, decision strategies, and third-party risk signals
Establish model and decisioning performance, testing, and experimentation frameworks, including champion-challenger strategies, A/B testing, simulation, controlled rollouts
Monitor and optimize platform effectiveness through defined performance metrics, including fraud prevented, fraud losses, detection rates, false positive rates
Define and execute the roadmap to mature FPP and expand fraud decisioning capabilities across products, channels, client segments
Education & alternatives
**To Succeed in This role** + You'll have a bachelor’s degree or equivalent practical experience in risk management, fraud analytics, data science, computer science, statistics, engineering, or a related field. **Required Qualifications**
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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Sep 17, 2026

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$107K–$264K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 53.

From 7,803 similar postings that came down. Coming down is not always a hire.

ADP is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

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  • Python
  • SQL
Where the posting names them
+ 5-7+ years of experience in fraud prevention, fraud detection, risk decisioning, payments risk, identity risk, financial crime, or related discipline. + Experience with Python is required. + Experience working with real-time fraud decisioning, transaction monitoring, and risk orchestration platforms such as Feedzai, Alloy, Accertify, Socure, Transmit Security, or comparable solutions.
+ Working knowledge of machine learning, statistical modeling, feature engineering, and model performance concepts, with experience translating analytical outcomes into operational fraud controls. + Strong proficiency in SQL and experience using analytics tools to perform data exploration, performance analysis, monitoring, and strategy optimization. + Excellent written and verbal communication skills, including the ability to explain complex fraud, analytics, and decisioning concepts to technical, business, and executive stakeholders.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

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**ADP is Hiring a Manager Data Science - Fraud** **Job Summary** The Manager, Fraud Data Science is responsible for the performance, optimization, governance, and strategic expansion of ADP's Fraud Prevention Platform (FPP) and its associated fraud controls. This role owns the platform's real-time decisioning capabilities, including rules, models, decision strategies, third-party risk signals, AI-driven fraud detection capabilities, and control frameworks, ensuring they remain aligned with evolving fraud threats, enterprise risk appetite, client experience, and business growth objectives. FPP is a foundational component of ADP's fraud strategy, and this role will help rapidly mature the platform, broaden its use cases, and expand its capabilities across ADP. The Manager will partner closely with other leaders across Global Fraud Prevention, Global Security, business teams, and engineering to translate emerging threats, fraud intelligence, investigative insights, and operational feedback into scalable, production-ready fraud controls that address an ever-changing fraud risk landscape. This role will help shape the future direction of fraud decisioning at ADP. Success requires deep fraud prevention expertise, strong analytical and technical aptitude, experience with modern fraud decisioning platforms such as Feedzai, and the ability to balance fraud risk, client experience, operational efficiency, and business growth while continuously advancing the capabilities and adoption of ADP's enterprise fraud platform. Like what you see? **Apply now!** **Learn more about ADP at tech.adp.com/careers** **Key Responsibilities** + Own the strategy, performance, resilience, governance, and continuous evolution of the Fraud Prevention Platform (FPP) and its associated fraud controls. + Drive real-time fraud decisioning capabilities, including rules, models, AI-enabled detection capabilities, decision strategies, and third-party risk signals to address evolving fraud threats and business needs. + Monitor and optimize platform effectiveness through defined performance metrics, including fraud prevented, fraud losses, detection rates, false positive rates, operational impact, transaction volumes, and decision latency. + Establish model and decisioning performance, testing, and experimentation frameworks, including champion-challenger strategies, A/B testing, simulation, controlled rollouts, and post-implementation validation to measure effectiveness, improve business outcomes, and support risk-based decision making. + Develop closed-loop performance improvement processes that leverage fraud outcomes, production monitoring, threat intelligence, investigative findings, and operational feedback to continuously enhance fraud controls, decision strategies, and model performance. + Oversee platform health and resilience, including uptime, transaction processing, integrations, third-party data providers, and system performance. Establish processes to rapidly identify and resolve service disruptions, data issues, and degraded control performance. + Establish and maintain governance and change-management processes covering rule and model deployment, testing, approvals, documentation, monitoring, rollback, and ongoing performance management. + Evaluate, optimize, and govern third-party fraud, identity, device intelligence, behavioral, consortium, and other risk data sources to maximize decision quality, fraud detection effectiveness, and return on investment. + Define and execute the roadmap to mature FPP and expand fraud decisioning capabilities across products, channels, client segments, and enterprise use cases, including the adoption of advanced analytics and AI-driven capabilities. + Partner within the Global Fraud Prevention group as well as with Global Security, Engineering, and business stakeholders to translate fraud risks and requirements into scalable platform capabilities and measurable business outcomes. + Serve as the enterprise subject matter expert for FPP, advising stakeholders on platform capabilities, decisioning strategies, AI/ML-enabled functionality, integrations, data requirements, and fraud control effectiveness. **To Succeed in This role** + You'll have a bachelor’s degree or equivalent practical experience in risk management, fraud analytics, data science, computer science, statistics, engineering, or a related field. **Required Qualifications** + 5-7+ years of experience in fraud prevention, fraud detection, risk decisioning, payments risk, identity risk, financial crime, or related discipline. + Experience with Python is required. + Experience working with real-time fraud decisioning, transaction monitoring, and risk orchestration platforms such as Feedzai, Alloy, Accertify, Socure, Transmit Security, or comparable solutions. + Demonstrated experience developing, tuning, testing, deploying, and monitoring fraud rules, decision strategies, risk scores, models, thresholds, and automated decisioning workflows. + Strong understanding of fraud typologies, detection techniques, identity and behavioral risk signals, evolving fraud threats, control design, false-positive management, and the relationship between fraud risk, customer experience, operational efficiency, and business growth. + Experience using data and performance metrics to evaluate fraud-control effectiveness, optimize decision strategies, and make risk-based recommendations. + Working knowledge of machine learning, statistical modeling, feature engineering, and model performance concepts, with experience translating analytical outcomes into operational fraud controls. + Strong proficiency in SQL and experience using analytics tools to perform data exploration, performance analysis, monitoring, and strategy optimization. + Excellent written and verbal communication skills, including the ability to explain complex fraud, analytics, and decisioning concepts to technical, business, and executive stakeholders. **Preferred Qualifications** + Hands-on experience with Feedzai or a comparable real-time fraud decisioning platform, including rule configuration, model deployment, performance assessment, alert strategy, and production change management. + Experience scaling fraud decisioning capabilities across multiple products, channels, geographies, client segments, or business units. + Experience with model governance and validation practices, including champion/challenger testing, back-testing, simulation, performance monitoring, controlled rollouts, and ongoing strategy optimization. + Knowledge of payments fraud and related attack vectors, including account takeover, identity fraud, synthetic identity, first-party fraud, authorized fraud, and insider-enabled fraud. + Experience evaluating, onboarding, and measuring the effectiveness of third-party fraud, identity, device intelligence, behavioral risk, and consortium data providers, including proof-of-concept testing and signal optimization. + Working knowledge of APIs, data pipelines, real-time event processing, and platform integrations, with the ability to effectively partner with technology and engineering teams. + Experience applying AI/machine learning, graph analytics, network analysis, generative AI, or other advanced analytical techniques to fraud detection, risk management, and decisioning use cases. + Experience establishing fraud analytics standards, strategy governance frameworks, model governance practices, and decisioning best practices within a large enterprise environment. + Experience in financial services, payments, payroll, fintech, e-commerce, or another high-volume transaction environment. + Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field. + Demonstrated industry leadership through conference presentations, publications, patents, participation in fraud prevention forums, or contributions to the fraud, analytics, or risk management community. What are you waiting for? **Apply today!** Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY (ADA version: https://youtu.be/IQjUCA8SOoA ) \#LI-SD4 \#LI-Hybrid Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is USD $107,400.00 - USD $264,300.00 / Year* *Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws. **A little about ADP:** We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition (https://www.adp.com/about-adp/awards-and-recognition.aspx) . **Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:** ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance. **Ethics at ADP:** ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.
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Pay
\#LI-Hybrid Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is USD $107,400.00 - USD $264,300.00 / Year* *Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.
Location & working pattern

Roseland, NJ

\#LI-SD4 \#LI-Hybrid Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is USD $107,400.00 - USD $264,300.00 / Year*
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