Lead, Advanced Analytics, Fraud and Safety Operations Job at Airbnb

Senior Manager, Advanced Analytics, Fraud & Safety Operations

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

212000.00 - 265000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics, risk, or safety
3+ years leading high-performing teams
Proven ownership of large-scale data products or taxonomies in a regulated environment
Strong SQL & data-modeling expertise
experimentation design, familiarity with Python/R
working knowledge of ML pipelines
Deep understanding of: How to measure rare platform events with statistical rigor
User authentication & connected-account vectors (e.g., social logins, device fingerprinting)
Circumvention tactics (e.g., multi-accounting, listing duplication, payment abuse)
Global privacy and data-protection standards (GDPR, CCPA, SOC 2, etc.)

Job Responsibility

Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization
Co-own and drive the enterprise-wide 'Safety Single Source of Truth' (SSoT) strategy
Build self-service, data tools that empower non-technical teams to ask deep questions, run 'what if' analyses, and generate actionable, data-backed outcomes
Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams
Lead incident 'war rooms,' presenting fast, actionable insights during high-severity events
Contribute to policy design (e.g., connected-accounts enforcement thresholds)
Support external audits, law-enforcement requests, and board-level reporting
Partner with Policy, Product, Engineering, Fraud and Safety Ops, and Legal to align analytics with global safety and privacy regulations
Operationalize frameworks that instantly assess and size the platform, reputational, and regulatory impact of safety incidents, enabling rapid escalation, crystal-clear retrospectives, and lessons learned

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Manager, Fraud and Safety Investigations Operations

Lead the Gurgaon team to deliver world-class operational performance, focusing o...

Location

India , Gurugram

Salary:

3700000.00 - 5300000.00 INR / Year

Airbnb

Expiration Date

Until further notice

Requirements

BS/BA degree in business, operations, or a related field
advanced education preferred
Experience in operations in a people management role within fraud, safety, trust, or customer operations
Proven expertise in managing executive-level escalations and high-severity fraud or safety incidents with sound judgment
Deep understanding of fraud and safety processes, protocols, and operational controls, ideally in a regional or global context
Strong leadership skills, with a track record of building and coaching high-performing teams in fast-paced environments
Excellent stakeholder engagement, communication, presentation, and storytelling skills, with the ability to influence cross-functional teams
Proficient in data tools (e.g., Tableau, SQL, Excel, Google Sheets) and collaborative project management tools (e.g., JIRA, Asana, Smartsheets)
High emotional intelligence, with a coaching mindset and the ability to lead through change with clarity and empathy
Demonstrated ability to translate strategic goals into actionable plans, balancing short-term performance with long-term vision

Job Responsibility

Operational leadership and Performance management
Lead and manage regional Fraud and Safety Operations, ensuring quality, consistency, and responsiveness in service delivery
Drive agent, team, and regional level performance by identifying trends, managing escalations, and taking corrective action when needed
Serve as the escalation point for executive level issues requiring urgent resolution and high-level coordination
Maintain strong situational awareness of operational health and proactively respond to volume spikes, attacks, or backlogs
Own and manage operational planning including metric setting, forecasting, and reporting such as weekly, monthly, quarterly and annual business reviews
Team leadership and development
Hire, coach, and develop a high-performing and engaged team that delivers at scale
Foster a culture of accountability, performance excellence, diversity, and inclusion
Support the onboarding, upskilling, and mentoring of new and developing Delivery Team Leaders in Fraud and Safety Operations

What we offer

bonus or incentives
one or more equity programs
benefits
Employee Travel Credits

Fulltime

Lead, Advanced Analytics, Trust & Safety

We are looking for an Advanced Analytics Lead to help Airbnb enable travel for o...

Location

United States

Salary:

157000.00 - 185000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

A minimum of 5+ years of industry experience in business analytics
A degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Must have experience supporting trust and safety and/or have worked closely with policy, content moderation, or security teams
Expert skills in SQL
Expert in at least one programming language for data analysis (Python or R)
Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision
Ability to identify issues both within and outside of your immediate scope, and propose solutions

Job Responsibility

Lead and drive data-driven product roadmap for the FSO - Defense Platform working group
Recommend actionable solutions backed by data and metrics to product problems
Build the business insights & reporting platform to detect and support the mitigation of potential fraud behavior and actors across the Airbnb platform
Perform data modeling of the various entities involved in the Trust creation and defense including hosts, guests, agents, and others
Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development
Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
Influence experimentation & measurement strategies
conduct power analyses, define exit criteria, and use statistical models to improve inference

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Lead Analyst, Advanced Analytics

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

164000.00 - 191000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

8+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Have experience supporting Payments teams and/or have worked closely with payments organizations, with demonstrated exposure to multiple payment risk domains such as trust & safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)
Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders
Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision

Job Responsibility

Generating payment reports and analyzing payment data for insights and performance evaluation
Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership
Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization
Design, execute, and analyze experiments to evaluate the impact of Payment strategies, product changes, and process improvements
You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes
Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities
Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results
Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, AI/ML techniques to inform strategic decision-making
Leverage experience across adjacent payment risk domains (trust & safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities
Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Manager, Advanced Analytics, FSI

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

212000.00 - 265000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics, risk, or safety
5+ years leading high-performing teams
Proven ownership of large-scale data products or taxonomies in a regulated environment
Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops)
Strong SQL & data-modeling expertise
experimentation design, working knowledge of Python/R, ML pipelines
Proven ability to: Design KPI's and operational metrics
Translate ambiguous problems into structured analytical frameworks
Influence cross-functional stakeholders (Ops, Product, Policy, Finance)
Drive measurable improvements in quality, efficiency, and cost

Job Responsibility

Define and operationalize KPI frameworks for global Fraud & Safety operations (quality, accuracy, SLA, productivity, cost)
Build dashboards and reporting systems to monitor enforcement performance across regions, vendors, and workflows
Lead weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership
Design and lead experimentation (A/B testing, pilots) to improve enforcement quality, reviewer productivity, and user experience
Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements
Partner with Ops and Policy to test and refine enforcement strategies (e.g., thresholds, escalation rules)
Partner with global operations and vendor teams to optimize staffing, capacity planning, and queue management
Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and quality standards
Drive forecasting models to balance cost, coverage, and service levels across high-volume workflows
Partner with Product and Engineering to translate operational insights into tooling and workflow improvements

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Director of Product, Fraud and Risk

We’re looking for a Director of Product to lead the fraud and risk function for ...

Location

United States , San Francisco

Salary:

230000.00 - 260000.00 USD / Year

GoodLeap

Expiration Date

Until further notice

Requirements

10+ years of fraud, risk, identity, or trust & safety product experience in fintech, banking, lending, payments, or consumer finance
Proven success designing fraud/risk systems, working with DS/ML teams, and shipping high-impact risk products at scale
Deep understanding of fraud vectors (ATO, synthetic identities, mule accounts, friendly fraud, credit abuse, chargebacks)
Experience with KYC/AML, sanctions, adverse media, dispute regulations, and compliance alignment
Strong analytical abilities, fluent with metrics, funnels, decision trees, and interpreting model outputs
Ability to lead teams, influence senior stakeholders, and make crisp tradeoffs between risk mitigation and growth
High-signal communication: clear, structured, authoritative

Job Responsibility

Set and drive the end-to-end fraud and risk product strategy across credit products, consumer payments, and the homeowner app, delivering strong protection without compromising experience
Own the roadmap for fraud detection and risk scoring systems, and partner closely with Engineering and Data Science to advance models, rules, and real-time defenses
Partner with Security to strengthen identity and account integrity, shaping product-side risk controls (KYC/KYB, device intelligence, behavioral signals) that mitigate synthetic IDs, ATO, and mule activity
Lead the strategy to prevent fraud-driven disputes and chargebacks by strengthening upstream controls, improving decisioning logic, and reducing opportunities for abuse before they reach Operations
Analyze fraud patterns, model performance, losses, and false positives, and make sharp, data-driven decisions that reduce fraud while preserving customer experience
Manage key vendor relationships and evaluate new technologies, signals, and platforms that can strengthen our fraud and risk defenses
Collaborate with Compliance and Legal to ensure fraud and risk systems meet regulatory requirements and are audit-ready
Communicate risks, trends, and mitigation plans to senior leadership with clarity, urgency, and high signal

What we offer

bonus
equity

Fulltime

Fraud & Safety Risk Manager

The Risk Manager is responsible for developing and executing a comprehensive fra...

Location

United States

Salary:

150000.00 - 185000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Business, Risk Management, Finance, Data Analytics, or related field (advanced degree preferred)
15+ years of experience in risk management, financial crimes, or operational risk in a financial services or technology environment
Demonstrated experience in developing fraud and safety risk frameworks, strategies, and operational models
Strong understanding of fraud prevention tools, analytics, and regulatory frameworks
Excellent communication, leadership, and stakeholder management skills
Proven ability to lead cross-functional initiatives and influence at senior levels

Job Responsibility

Establish and manage the Fraud and Safety Risk Appetite Framework, defining guardrails, triggers, and pre-approved escalation actions
Align and enhance the organization’s Risk Register to ensure adaptability to new fraud and safety trends and defense effectiveness
Develop and maintain fraud and safety specific risk assessment standards, including key risk indicators (KRIs), typologies, and emerging threat analysis
Support the design and implementation of data-driven, prevention strategies and continuous user journey improvements
Partner cross-functionally to integrate fraud and safety considerations into product design and business strategy, ensuring alignment between user experience and risk management
Deliver executive reporting on safety and fraud risk indicators, incidents, and performance
Monitor fraud and safety operational processes, including response to escalations, internal alerts, investigation of incidents, and resolution of cases based on severity and relevance
Partner with cross-functional teams to ensure timely and accurate handling of incidents and client service excellence
Support process optimization and workflow improvements to increase efficiency and effectiveness of incident response
Define and maintain monitoring thresholds, escalation triggers, and defense execution standards

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Fraud Intelligence Lead

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

125000.00 - 145000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

6+ years of experience in fraud intelligence, risk analytics, or related fields (e.g., financial crime, marketplace fraud, platform abuse)
Demonstrated expertise connecting trend-level insights to broader fraud patterns and systemic risk, rather than just resolving individual cases
Advanced proficiency with SQL and Python for analysis
experience building dashboards and visualizations in Tableau
Deep understanding of Account Takeover (ATO), Scams, behavioral analysis, and the development of risk controls
Proven ability to produce clear, structured investigative writing and present findings to senior leadership, including Directors and above
Working knowledge of cyber risk frameworks, digital forensics, and platform security
certifications such as CISSP, CHFI, CEH, GIAC, CFE, or Security+ are preferred
Track record of driving cross-functional initiatives and influencing outcomes without formal authority
Experience collaborating with international and cross-functional partners to drive policy, process, and technology improvements

Job Responsibility

Analyze large-scale fraud signals and translate complex data into platform-level controls, rules, and policies to stop bad actors upstream
Analyze fraud trends and patterns using SQL and Python, utilizing tools to visualize findings and drive data-informed decision-making
Collaborate and manage relationships with data, product, trust & safety, legal, and policy teams, as well as external vendors, to design and implement new fraud countermeasures and automated defenses
Develop and present clear investigative reports and fraud intelligence summaries to leadership and cross-functional partners using Slides and data visualization tools
Identify automation opportunities to streamline detection processes and reduce manual operational lift
build and develop holistic detection systems through prototyping tooling and defining data requirements
Guide and mentor the team, improving individual capabilities and overall program effectiveness

What we offer

Bonus
Equity
Employee Travel Credits

Fulltime

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