Fraud Rules Engineer Job at Robert Half (Oakland)

Senior Fraud Engineer

As our next Senior Fraud Security Engineer, you won’t just be monitoring logs—yo...

Location

United States

Salary:

126000.00 - 154000.00 USD / Year

ActiveCampaign

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience building robust fraud detection, abuse prevention, or security monitoring systems
Expert-level Python development skills, with a proven track record of writing production-grade code integrated into large-scale systems
Deep expertise in messaging abuse patterns, specifically regarding email/SMS phishing, spam, and the nuances of sender reputation
A strong understanding of ML-based detection systems and behavioral analytics, with the ability to build automated detection at scale with limited resources
Technical proficiency with modern abuse tooling (e.g., Sift) and ideally experience in content moderation or text/image analysis
Prior experience in SaaS messaging, marketing automation, or Email Service Provider (ESP) platforms a bonus—you understand the unique abuse dynamics of our industry
A collaborative mindset and the ability to work cross-functionally with engineering, product, and security teams to drive strategic security outcomes

Job Responsibility

Architect and implement automated behavioral analysis pipelines to detect trial abuse, account takeovers, and sophisticated sending pattern anomalies
Build continuous risk scoring systems that evaluate customer accounts across their entire lifecycle to proactively identify emerging threats
Develop a sender reputation tracking system that seamlessly integrates with email deliverability signals to safeguard our platform's reach
Engineer advanced analysis capabilities for campaign content, including specialized tools for URL, image, and web-based threat detection
Deploy complex detection logic and custom Python services, utilizing Sift rules to automate real-time security responses
Collaborate with the Security Platform Engineering team to enhance the data pipelines feeding our core security and monitoring tools
Design automated response workflows—from account suspension and campaign throttling to manual review queuing—to mitigate abuse at scale
Partner with Product Security Engineering to instrument AI feature telemetry and build systems capable of detecting synthetic content and inauthentic behavior

What we offer

Comprehensive Health & Wellness: Top-tier benefits package that includes a fully-covered High Deductible Health Plan (HDHP), complimentary access to telehealth services, and a free subscription to Calm
Growth & Development: Access to LinkedIn Learning, professional development programs, and career growth opportunities in a fast-growing organization
Generous Paid Time Off: Recharge and take the time you need to maintain work-life balance with open PTO
Total Rewards: Generous 401(k) matching with immediate vesting, quarterly perks with commuter and lunch benefits for hub based employees or a stipend for remote workers, and a four-week paid sabbatical with bonus after five years
Collaborative Culture: Work alongside brilliant, passionate colleagues in an environment that values innovation, teamwork, and mutual support

Fulltime

Machine Learning Engineer, Fraud

Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping p...

Location

United States , San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA

Salary:

245000.00 - 345000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, a related field, or equivalent work experience
2–6 years of experience in machine learning or software engineering, ideally in risk, fraud, or trust & safety domains
Strong proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, LightGBM)
Solid backend development skills and experience deploying ML models to production (batch or real-time)
Experience in data analysis and ETL (SQL, Spark, DBT) for data pipeline building
Familiarity with fraud detection techniques such as chargeback prediction, anomaly detection, or graph-based modeling
Experience with data orchestration frameworks (Dagster, Kubeflow) and feature store design
Ability to translate business risk into measurable ML solutions and collaborate across diverse

Job Responsibility

Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent behaviors across users, payments, and marketplace interactions
Lead the end-to-end architecture of fraud detection, prevention, and intervention systems — balancing platform security with a seamless user experience
Build intelligent user graphs to model behavioral patterns, collusion networks, and account connectivity
Develop scalable data pipelines and real-time inference systems supporting high-volume, low-latency ML workloads
Conduct deep behavioral and adversarial data analysis to uncover fraud trends and continuously improve detection accuracy
Partner cross-functionally with Trust & Safety, Payments, and Infrastructure teams to develop features, labels, and model evaluation pipelines
Implement model monitoring and drift detection systems to ensure reliability and responsiveness
Contribute to fraud risk orchestration, combining rules, models, and heuristics for decision automation
Define and track key metrics and dashboards for fraud detection effectiveness (e.g., precision, recall, false-positive rate, latency)
Stay ahead of emerging fraud tactics and continuously translate insights into adaptive, production-ready systems

What we offer

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

Fraud Data Engineer

At Citi, we get to connect millions of people across hundreds of cities and coun...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-4 years of experience in a related role
Experience in applying and developing advanced statistical models via Python/Pyspark/SQL/Big Data Knowledge and other similar skills
Demonstrated ability to filter, prioritize and validate potentially complex and dynamic material from multiple sources
Ability to persuade and influence others and negotiate with third parties
Consistently demonstrates clear and concise written and verbal communication
Demonstrated ability to remain unbiased in a diverse working environment
3+ years’ experience in data engineering, technology development, advanced analytics and modeling, project management with team management experience
Good understanding and hands-on experience of data techniques and tools in Hadoop environment: Linux, Spark, Hive, Python etc.
Good understanding and project experience of data management such as data pipeline, data structure and data quality governance
Good understanding and project experience of AI and Machine Learning models

Job Responsibility

Manage a team, the budget and planning
Analyze fraud trends, conduct investigative research into fraud behavior and losses to determine the nature of fraud patterns
Manage department projects/ processes, including data sampling, modeling design, modeling development, validation, and implementation
Lead modeling and analytical projects through completion
Evaluate subordinates' performance and make recommendations for pay increases, hiring, terminations and other personnel actions
Provides evaluative judgment based on information analysis in complicated and unique situations to solve complex issues
Ensure delivery of end results and contribute to the formulation of procedures
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

What we offer

Programs and services for physical and mental well-being including access to telehealth options, health advocates, confidential counseling
Expanded Paid Parental Leave Policy
Resources to manage financial well-being and help plan for the future
Access to an array of learning and development resources
Generous paid time off packages
Resources and tools to volunteer in the communities

Fulltime

Fraud Data Engineer

At Citi, we get to connect millions of people across hundreds of cities and coun...

Location

India , Mumbai; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-4 years of experience in a related role
Experience in applying and developing advanced statistical models via Python/Pyspark/SQL/Big Data Knowledge and other similar skills
Demonstrated ability to filter, prioritize and validate potentially complex and dynamic material from multiple sources
Ability to persuade and influence others and negotiate with third parties
Consistently demonstrates clear and concise written and verbal communication
Demonstrated ability to remain unbiased in a diverse working environment
Bachelor’s degree/University degree or equivalent experience
3+ years’ experience in data engineering, technology development, advanced analytics and modeling, project management with team management experience
Good understanding and hands-on experience of data techniques and tools in Hadoop environment: Linux, Spark, Hive, Python etc.
Good understanding and project experience of data management such as data pipeline, data structure and data quality governance

Job Responsibility

Manage a team, the budget and planning
Analyze fraud trends, conduct investigative research into fraud behavior and losses to determine the nature of fraud patterns
Manage department projects/ processes, including data sampling, modeling design, modeling development, validation, and implementation
Lead modeling and analytical projects through completion
Evaluate subordinates' performance and make recommendations for pay increases, hiring, terminations and other personnel actions
Provides evaluative judgment based on information analysis in complicated and unique situations to solve complex issues
Ensure delivery of end results and contribute to the formulation of procedures
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

What we offer

Programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more
Paid Parental Leave Policy
Resources to manage your financial well-being and help plan for the future
Access to an array of learning and development resources
Variety of programs that help employees balance their work and life, including generous paid time off packages
Resources and tools to volunteer in the communities

Fulltime

Business Consulting-Fraud Detection UAT Senior Test Engineer

The Senior UAT Test Engineer will lead end-to-end User Acceptance Testing (UAT) ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6–10 years of experience in BFSI testing with significant UAT experience
Strong domain expertise in Fraud Detection, AML, Risk, or Financial Crime systems
Proven experience in validating fraud rules engines and transaction monitoring systems
Strong understanding of end-to-end payment flows and fraud risk controls
Hands-on experience with defect management tools (e.g., JIRA, ALM)
Ability to lead UAT cycles and manage multiple stakeholders
Excellent analytical skills for fraud pattern identification and validation
Strong communication, leadership, and stakeholder management skills
Experience in Agile, Scrum, or hybrid delivery models

Job Responsibility

Lead UAT planning, strategy, and execution for Fraud Detection systems
Define UAT scope, test approach, timelines, and entry/exit criteria
Review and validate business requirements, fraud rules, and detection logic
Oversee design and execution of complex UAT scenarios, including high-risk fraud cases
Validate end-to-end transaction monitoring, alert generation, scoring, and case management workflows
Ensure accuracy of fraud detection outcomes and minimize false positives/negatives
Drive defect management lifecycle: triage, prioritization, root cause analysis, and closure
Collaborate closely with business stakeholders, SMEs, and product owners for sign-offs
Ensure compliance with regulatory standards (AML, KYC, PCI-DSS, etc.)
Provide insights and recommendations to improve fraud detection effectiveness and UAT processes

Business Consulting-Fraud Detection UAT Senior Test Engineer

The Senior UAT Test Engineer will lead end-to-end User Acceptance Testing (UAT) ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6–10 years of experience in BFSI testing with significant UAT experience
Strong domain expertise in Fraud Detection, AML, Risk, or Financial Crime systems
Proven experience in validating fraud rules engines and transaction monitoring systems
Strong understanding of end-to-end payment flows and fraud risk controls
Hands-on experience with defect management tools (e.g., JIRA, ALM)
Ability to lead UAT cycles and manage multiple stakeholders
Excellent analytical skills for fraud pattern identification and validation
Strong communication, leadership, and stakeholder management skills
Experience in Agile, Scrum, or hybrid delivery models

Job Responsibility

Lead UAT planning, strategy, and execution for Fraud Detection systems
Define UAT scope, test approach, timelines, and entry/exit criteria
Review and validate business requirements, fraud rules, and detection logic
Oversee design and execution of complex UAT scenarios, including high-risk fraud cases
Validate end-to-end transaction monitoring, alert generation, scoring, and case management workflows
Ensure accuracy of fraud detection outcomes and minimize false positives/negatives
Drive defect management lifecycle: triage, prioritization, root cause analysis, and closure
Collaborate closely with business stakeholders, SMEs, and product owners for sign-offs
Ensure compliance with regulatory standards (AML, KYC, PCI-DSS, etc.)
Provide insights and recommendations to improve fraud detection effectiveness and UAT processes

Fulltime

Business Consulting- Fraud Detection UAT Intermediate Test Engineer

The Intermediate UAT Test Engineer role at NTT DATA involves leading User Accept...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4–6 years of experience in BFSI testing with strong exposure to UAT
Solid understanding of Fraud Detection, AML, or transaction monitoring systems
Hands-on experience in validating fraud rules, alerts, and case workflows
Experience working with defect management tools (e.g., JIRA, ALM)
Strong analytical skills for identifying fraud patterns and validating outcomes
Ability to interact confidently with business stakeholders and SMEs
Good understanding of UAT lifecycle, test planning, and execution
Strong communication, coordination, and documentation skills

Job Responsibility

Design, review, and execute UAT test scenarios for Fraud Detection systems
Validate fraud rules, alerts, scoring models, and case management workflows
Perform end-to-end testing of transaction monitoring, alert generation, and investigation processes
Analyze suspicious transactions and ensure accurate fraud detection and classification
Coordinate with business users to understand requirements and ensure UAT coverage
Identify gaps in requirements and recommend improvements based on domain knowledge
Log, track, prioritize, and retest defects using tools like JIRA
Prepare and manage UAT test data, including complex fraud scenarios and edge cases
Support UAT planning, execution, and reporting (status updates, defect summaries, sign-offs)
Ensure compliance with regulatory requirements (e.g., AML, KYC, PCI-DSS where applicable)

Business Consulting - Fraud Detection UAT Intermediate Test Engineer

The Intermediate UAT Test Engineer will lead and support User Acceptance Testing...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4–6 years of experience in BFSI testing with strong exposure to UAT
Solid understanding of Fraud Detection, AML, or transaction monitoring systems
Hands-on experience in validating fraud rules, alerts, and case workflows
Experience working with defect management tools (e.g., JIRA, ALM)
Strong analytical skills for identifying fraud patterns and validating outcomes
Ability to interact confidently with business stakeholders and SMEs
Good understanding of UAT lifecycle, test planning, and execution
Strong communication, coordination, and documentation skills

Job Responsibility

Design, review, and execute UAT test scenarios for Fraud Detection systems
Validate fraud rules, alerts, scoring models, and case management workflows
Perform end-to-end testing of transaction monitoring, alert generation, and investigation processes
Analyze suspicious transactions and ensure accurate fraud detection and classification
Coordinate with business users to understand requirements and ensure UAT coverage
Identify gaps in requirements and recommend improvements based on domain knowledge
Log, track, prioritize, and retest defects using tools like JIRA
Prepare and manage UAT test data, including complex fraud scenarios and edge cases
Support UAT planning, execution, and reporting (status updates, defect summaries, sign-offs)
Ensure compliance with regulatory requirements (e.g., AML, KYC, PCI-DSS where applicable)

Fulltime

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Fraud Rules Engineer

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