Fraud Rules Engineer Job at Robert Half (Oakland)

Fraud Strategy Manager

Navan is expanding its Fraud Risk Management organization to build world-class f...

Location

United States , Dallas

Salary:

Not provided

Navan

Expiration Date

Until further notice

Requirements

7–10+ years of experience in fraud strategy, fraud analytics, or financial crime risk management
Strong experience designing and managing fraud rules, policies, and decision strategies in production environments
Deep understanding of how machine learning models and features are used to inform fraud decisions
Proficiency in SQL and strong working knowledge of Python for analysis and strategy validation
Experience working with large-scale data platforms such as Snowflake, Databricks, Spark, or similar
Solid understanding of card payments, transaction flows, identity verification, and fraud typologies (ATO, synthetic identity, first-party fraud, third-party fraud, scams)
Demonstrated ability to partner effectively with Data Science, Engineering, Product, and Fraud Operations teams
Strong analytical mindset with the ability to translate complex data into clear, actionable strategy decisions
Excellent communication skills, including presenting strategy recommendations to senior leadership
Experience in fintech, payments, travel, or e-commerce environments preferred

Job Responsibility

Own and drive fraud strategy for key risk areas across travel and expense, balancing fraud loss reduction with customer experience
Design and evolve fraud rules, thresholds, and decision workflows, informed by data science models, ML features, and investigative insights
Partner closely with Data Science teams to translate machine learning model outputs and features into effective, explainable fraud strategies
Lead strategy development across onboarding, payments, expense submissions, and transaction monitoring
Apply advanced analytics techniques (trend analysis, segmentation, clustering, network analysis) to identify emerging fraud patterns and control gaps
Perform root-cause analysis and loss attribution, quantifying financial impact and prioritizing strategy improvements
Own strategy performance metrics, including fraud loss, approval rates, false positives, and customer friction
Collaborate cross-functionally with Fraud Operations to ensure strategies are operationally executable and continuously optimized
Partner with Engineering and Product to implement fraud strategies into real-time and batch decisioning systems
Drive experimentation and A/B testing of rules, thresholds, and model-driven strategies

What we offer

Generous medical plans, dental, and vision benefits with premiums covered by Navan
Various insurance options designed to cover each family's needs
Paid parental and bereavement leave
Subsidized commuter benefits
Mental health support
Connectivity stipends
Pet insurance

Fulltime

Fraud Detection and Prevention Lead

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Chicago; Denver; Westlake

Salary:

112000.00 - 132000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Finance, Mathematics, Computer Science, or a related field
7+ years of experience in risk or fraud detection, including developing rules, models and analytics
5+ years of hands-on SQL experience
Proficiency in Python or similar scripting languages
Strong analytical and statistical skills with experience in techniques like pattern recognition and unsupervised learning
Experience using data visualization tools (e.g., Tableau, Looker, Superset) to translate data into business decisions
Effective communication and collaboration skills, with experience working across operations, data science, and engineering

Job Responsibility

Analyze transaction and behavioral data to identify and build new fraud detection methods
Collaborate with Fraud Operations, Data Science, and Engineering teams to design and deploy detection rules and features
Optimize fraud rules and thresholds to reduce false positives while balancing customer experience and fraud loss
Develop monitoring dashboards and alerting systems to track performance of fraud prevention measures
Partner with external payment networks and third-party fraud vendors to strengthen detection capabilities
Deliver clear and actionable insights on fraud trends and financial impact to cross-functional stakeholders

What we offer

Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Fraud Detection and Prevention Lead

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Chicago; Denver; Westlake

Salary:

112000.00 - 132000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Finance, Mathematics, Computer Science, or a related field
7+ years of experience in risk or fraud detection, including developing rules, models and analytics
5+ years of hands-on SQL experience and proficiency in Python or similar scripting languages
Strong analytical and statistical skills with experience in techniques like pattern recognition and unsupervised learning
Track record of using data visualization tools (e.g., Tableau, Looker, Superset) to translate data into business decisions
Effective communicator and collaborator, with experience working across operations, data science, and engineering

Job Responsibility

Analyze transaction and behavioral data to identify and build new fraud detection methods
Collaborate with Fraud Operations, Data Science, and Engineering teams to design and deploy detection rules and features
Optimize fraud rules and thresholds to reduce false positives while balancing customer experience and fraud loss
Develop monitoring dashboards and alerting systems to track performance of fraud prevention measures
Partner with external payment networks and third-party fraud vendors to strengthen detection capabilities
Deliver clear and actionable insights on fraud trends and financial impact to cross-functional stakeholders

What we offer

Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Risk and Compliance Analyst

As a Risk and Compliance Analyst, you will be responsible for fraud monitoring a...

Location

Sweden , Stockholm

Salary:

Not provided

Arrive

Expiration Date

Until further notice

Requirements

Experience of compliance, merchant and/or payment experience
Experience of EMV payments
Demonstrated analytical skills with experience supporting business case preparation and financial tracking
Advanced knowledge of Card Scheme, Governmental, Banking and other relevant regulations rules and regulations
Ability to design, review current design, document and update documented policies in a dynamic fast paced environment
Strong understanding of the chargeback dispute process and chargeback flows
Exceptional interpersonal skills and interactions with a wide range of levels across the business

Job Responsibility

Monitor & Detect Anomalies: monitor transaction queues and parking data to identify high-risk activity
Optimize Fraud Rules: help build and refine rule sets in our fraud detection engine
Investigate Chargebacks & Disputes: play a key role in the end-to-end dispute process
Analyze Trends: dive deep into data to spot emerging trends specific to the parking industry
Cross-Functional Collaboration: work closely with the Product and Engineering teams to close security gaps
Reporting: generate weekly/monthly reports on fraud loss rates, chargeback win rates, and false positive ratios to present to the leadership team
Create, implement, maintain and update the risk-related policies and procedures to be followed by the company
Review and ensure compliance is properly accounted for in the policies of other departments
Evaluate current risk management strategies and make recommendations for change as the Card Scheme, Governmental, Banking and other relevant regulations change
Work closely with management to ensure content is aligned with government regulations, revenue, customer, culture, and business objectives

Lead Fraud Operations Analyst

As the Lead Fraud Operations Analyst at Apollo, you’ll be the hands-on technical...

Location

United States

Salary:

92000.00 - 125000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years of experience in fraud operations, trust & safety, or security operations roles
Strong SQL proficiency (joins, CTEs, aggregates)
familiarity with Python and data visualization tools
Experience reviewing or debugging application code (Ruby preferred), using tools like Cursor, GitHub Copilot, or IDEs for root-cause exploration
Familiarity with payment systems (chargebacks, disputes, ACH) and the associated fraud lifecycle
Understanding of fraud detection models and risk-scoring logic
experience configuring or auditing rule-based systems
Demonstrated ability to lead investigations independently, prioritize in ambiguity, and deliver results across multiple teams
Exceptional written and verbal communication skills
capable of translating technical detail into operational action

Job Responsibility

Lead Fraud Operations and Investigations
Act as the primary escalation point for complex fraud and abuse investigations across Apollo’s ecosystem
Perform root-cause analysis of new exploit behaviors, account takeovers, transactions, and scaled abuse events using data queries (SQL, Python), system logs and testing
Conduct forensic investigations into fraud model classifications, rule bypasses, and external abuse tool behaviors
Build and maintain investigation frameworks that allow rapid detection and classification of fraud patterns
Develop and Optimize Fraud Detection Systems
Configure, tune, and evaluate rules-based and model-driven fraud detection systems (e.g., Stripe Radar, Signified, or internal models)
Collaborate with Engineering to enhance fraud detection logic and event pipelines
identify and close systemic gaps through code- or model-level feedback loops
Use Cursor or equivalent AI-assisted dev tools to review Ruby-based backend logic, reverse-engineer fraud actor patterns, and suggest mitigations

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

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 & AML Data Analyst

Shape the future of trust in the age of AI. At Oscilar, we're building the most ...

Location

Salary:

Not provided

Oscilar

Expiration Date

Until further notice

Requirements

4+ years of experience as a data analyst, data scientist or a related field, with a focus on fraud prevention and/or anti-money laundering
Proficiency in Python and SQL
Knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection
Experience working with large datasets and handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale
Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data
Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences
Ability to work independently and collaboratively in a fast-paced, dynamic startup environment

Job Responsibility

Analyze large-scale transaction, account, and behavioral datasets to identify fraud, AML, and abuse patterns across: Onboarding (synthetic identity, fake accounts, mule risk), Account activity (ATO, session hijacking, social engineering), Payments (card-not-present fraud, ACH/wire fraud, crypto typologies)
Develop risk segmentation, cohorts, and KPIs (fraud rate, approval rate, loss rate, false positives)
Evaluate rule-based and ML-driven decision strategies and quantify performance trade-offs
Partner with customers to: Diagnose their fraud and AML pain points, Interpret model outputs, alerts, and decision logic, Design and refine risk strategies using our platform
Produce customer-facing analytics, dashboards, and readouts that translate data into actionable risk decisions
Act as a trusted analytics advisor for customers implementing or scaling fraud programs
Work closely with Product and Engineering to: Define data requirements and success metrics for new features, Provide feedback on model explainability, rule tooling, and case workflows, Identify gaps in data, signals, or product capabilities based on real customer usage
Support experimentation (A/B tests, challenger strategies, rule tuning)
Contribute to internal and external documentation, including: Fraud and AML best practices, Lifecycle risk frameworks, Playbooks for onboarding, ATO, and payment fraud
Help shape standardized analytics and reporting frameworks across customers

What we offer

Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy
AI First company
both Co-Founders are engineers at heart
and over 50% of the company is Engineering and Product
Family-Friendly environment
Regular team events and offsites
Unparalleled learning and professional development opportunities

Fulltime

Risk and Compliance Analyst

As a Risk and Compliance Analyst, you will be responsible for fraud monitoring a...

Location

United States , Atlanta

Salary:

Not provided

Arrive

Expiration Date

Until further notice

Requirements

Experience of compliance, merchant and/or payment experience
Experience of EMV payments
Demonstrated analytical skills with experience supporting business case preparation and financial tracking
Advanced knowledge of Card Scheme, Governmental, Banking and other relevant regulations rules and regulations
Ability to design, review current design, document and update documented policies in a dynamic fast paced environment
Strong understanding of the chargeback dispute process and chargeback flows
Exceptional interpersonal skills and interactions with a wide range of levels across the business

Job Responsibility

Monitor transaction queues and parking data to identify high-risk activity
Help build and refine rule sets in our fraud detection engine
Play a key role in the end-to-end dispute process
Dive deep into data to spot emerging trends specific to the parking industry
Work closely with the Product and Engineering teams to close security gaps
Generate weekly/monthly reports on fraud loss rates, chargeback win rates, and false positive ratios
Create, implement, maintain and update the risk-related policies and procedures
Review and ensure compliance is properly accounted for in the policies of other departments
Evaluate current risk management strategies and make recommendations for change
Work closely with management to ensure content is aligned with government regulations, revenue, customer, culture, and business objectives

Fraud Rules Engineer

Robert Half

Location:
United States , Oakland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Fraud Rules Engineer

Fraud Strategy Manager

Fraud Detection and Prevention Lead

Fraud Detection and Prevention Lead

Risk and Compliance Analyst

Lead Fraud Operations Analyst

Machine Learning Engineer, Fraud

Fraud & AML Data Analyst

Risk and Compliance Analyst

Fraud Rules Engineer

Robert Half

Location:United States , Oakland

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:March 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Fraud Rules Engineer

Fraud Strategy Manager

Fraud Detection and Prevention Lead

Fraud Detection and Prevention Lead

Risk and Compliance Analyst

Lead Fraud Operations Analyst

Machine Learning Engineer, Fraud

Fraud & AML Data Analyst

Risk and Compliance Analyst

Location:
United States , Oakland

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 05, 2026