Fraud Analyst (Trust & Safety) Job at Salt (Kuala Lumpur)

Trust & Safety Operations Analyst

At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, use...

Location

United States , San Francisco

Salary:

189000.00 - 280000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

5+ years of experience in one or more of: trust & safety, fraud prevention, scam investigation, privacy/legal operations, compliance, or other risk/integrity domains ideally in a global or high-growth tech environment
Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact
Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks
Have a track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes
Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence
Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts
Thrive in ambiguous, high-autonomy environments and balance speed with diligence
Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact

Job Responsibility

Handle and resolve high-priority cases in your area of specialization (scaled content enforcement, fraud/scams, privacy/regulatory, or emerging risks)
Perform in-depth risk evaluations and investigations using internal tools, product signals, and third-party data
Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation
Partner with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies
Build feedback loops from casework to inform product, engineering, and policy improvements
Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and vendors
Lead or contribute to cross-functional projects, from zero-to-one process builds to global operational scale-ups
Monitor operational health through case quality audits, SLA adherence, escalation accuracy, and user satisfaction metrics
Train and support vendor teams, ensuring consistent quality and alignment with OpenAI’s trust and safety standards

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Fraud & Risk Analyst

The Account & Platform Integrity team protects OpenAI’s ecosystem from fraud, im...

Location

United States , San Francisco

Salary:

252000.00 - 280000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

5+ years of experience in verifications, fraud, trust & safety, or risk investigations
Comfortable making high-impact decisions about platform access
Experience working cross-functionally with Legal, Product, Sales, and Operations
Enjoy building systems, not just running them — especially in fast-moving environments
Calm under pressure, detail-oriented, and trusted with sensitive and ambiguous cases
Thrive in environments that require judgment, speed, and accountability

Job Responsibility

Review and verify customer identities, organizations, and ownership structures
Investigate suspicious or high-risk accounts (e.g., fraud, impersonation, shell companies, abuse of API or ChatGPT access)
Evaluate documents, internal data, and third-party sources to determine legitimacy and risk
Enforce account-level actions such as approvals, restrictions, suspensions, or escalations
Serve as the case owner for complex, high-visibility verification and integrity cases
Partner with Legal, Compliance, Sales, and Support to resolve issues quickly and accurately
Handle escalations, appeals, and sensitive customer communications
Help design and improve verification workflows, fraud detection, and risk-scoring systems
Contribute to automation, tooling, and human-in-the-loop review pipelines
Identify patterns of abuse and recommend new controls or safeguards

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Fraud Intelligence Analyst

Join AirCover Ops, a global team dedicated to safeguarding Airbnb’s platform int...

Location

Canada

Salary:

82000.00 - 96000.00 CAD / Year

Airbnb

Expiration Date

Until further notice

Requirements

6+ years’ experience in fraud, financial crimes, cyber-risk, intelligence, or a high-stakes investigative function
Proven ability to synthesize ambiguous data, identify complex fraud patterns, and make well-reasoned, actionable recommendations
Advanced SQL proficiency to independently analyze large datasets, plus experience (or active development) with Python
Strong investigative reporting and narrative skills for cross-functional and leadership audiences
Credibility, composure, and a proactive mindset when engaging stakeholders across disciplines and geographies
Prior exposure to fraud tooling, signal detection, or rule development highly preferred
Authorization to work globally
occasional international collaboration may be required

Job Responsibility

Lead deep-dive investigations into high-risk and multi-case fraud patterns, producing comprehensive and structured reports
Analyze large, ambiguous datasets to detect weak signals and evolving fraud threats
Develop and recommend upstream safeguards, detection triggers, and policy/process improvements based on investigative findings
Collaborate daily with Data Science, Product, Trust, Safety, and Legal teams to deploy effective countermeasures and influence platform strategy
Mentor and upskill peers through case reviews, internal training, and sharing investigative best practices
Influence high-visibility, cross-functional decisions with clear narratives, written briefs, and trend summaries

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Global Safety Response Operations Analyst

We’re looking for experience Trust, Safety, and Risk Operations analysts who hav...

Location

United States , San Francisco

Salary:

189000.00 - 280000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

5+ years of experience in trust & safety, content moderation, investigations, fraud, or developer risk operations
Experience working in incident response, law enforcement response, or escalations management
Deep domain expertise in specialization area and familiarity with relevant legal, policy, and technical frameworks
Track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes
Exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence
Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts
Thrive in ambiguous, high-autonomy environments and balance speed with diligence
Comfortable with frequent context switching, managing multiple projects, and prioritizing impact

Job Responsibility

Handle and resolve high-priority cases across all harm and risk areas, ensuring timely and appropriate resolution in line with policy and legal requirements
Operate across multiple systems and tools to manage user reports and tickets, internal escalations, and other high priority investigations
Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation
Identify and implement process improvements and automation opportunities to increase efficiency, accuracy, and coverage
Conduct quality reviews and provide feedback to improve consistency across global teams
Analyze trends and generate insights from escalation and case data to inform policy, product, model behavior, or detection improvements
Maintain exceptional accuracy, judgment, and composure under pressure when handling sensitive or time-critical situations
Participate in 24/7 on-call rotation, including off-hours and weekend coverage as needed

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Staff Applied Machine Learning Engineer - Fraud & Abuse

As a Staff Applied Machine Learning Engineer focused on Fraud & Abuse, you will ...

Location

United States , Bay Area

Salary:

276800.00 - 415200.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

12+ years building and operating production software and ML systems for business-critical products
Deep expertise in fraud/risk domains such as payment fraud, identity/account integrity, merchant or marketplace risk, scams, trust & safety, abuse prevention, or compliance decisioning
Strong production ML judgment across feature pipelines, model serving, evaluation, monitoring, low-latency integration, safe rollout, and incident response
Sound judgment around false-positive tradeoffs, noisy labels, adversarial behavior, customer harm, and cross-functional decisions
Experience using AI-assisted engineering tools with appropriate verification, testing, and review for high-stakes systems

Job Responsibility

Build and operate real-time and batch ML decisioning systems for payment fraud, scams, identity and account integrity, merchant and marketplace risk, and abuse prevention
Integrate behavioral, graph, device, network, event-stream, and third-party signals into low-latency model serving, decision APIs, and product controls
Own the production lifecycle for risk decisions, including data contracts, feature quality, online/offline consistency, monitoring, drift detection, safe rollout, rollback, and incident response
Develop feedback loops and verified AI-assisted workflows for triage, investigation support, alert clustering, graph exploration, simulation, and post-incident learning
Partner with modelers, analysts, product, compliance, and operations to balance fraud losses, customer access, false positives, product velocity, support burden, and long-term trust
Create reusable decision and evaluation capabilities that product services, internal tools, and AI-assisted workflows can safely consume

What we offer

Remote work
Medical insurance
Flexible time off
Retirement savings plans
Modern family planning
Other benefits at Block

Fulltime

Staff Security Analyst, Threat Intelligence

We are building an elite team, applying frontier technologies to the world’s big...

Location

United States , Menlo Park

Salary:

191000.00 - 225000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

8–12+ years of total experience, including 3–5+ years operating at a senior or staff-level scope in threat intelligence, brand protection, or cyber investigations
Hands-on experience tracking criminal ecosystems tied to phishing, scams, impersonation, fraud, and infrastructure abuse, and the ability to move from isolated indicators to campaign- and actor-level analysis
Deep familiarity with domain registration patterns, DNS and certificate transparency analysis, cloud and hosting abuse across providers (e.g., AWS, GCP, Azure, VPS), and attacker monetization methods
Experience using OSINT tooling, SQL, Python, notebooks, SIEM or SOAR platforms, OpenCTI, and case management systems to analyze data and automate workflows
Ability to translate complex technical threats into clear business risk for technical teams and executive audiences through strong written and verbal communication
Experience mentoring others or leading initiatives across teams, with a high level of accountability and sound risk judgment in ambiguous situations

Job Responsibility

Proactively hunt and map criminal ecosystems targeting Robinhood and its customers, then translate intelligence into scalable systems and coordinated defenses that disrupt adversaries before they cause harm
Build and operationalize a comprehensive "Universe of Threats" by identifying, tracking, and prioritizing adversaries across phishing, scams, impersonation, fraud, and infrastructure abuse
Establish and mature a proactive threat intelligence lifecycle by developing industry partnerships, collaborating with trusted peers and federal authorities, and cultivating online personas to generate early warning capabilities that protect Robinhood’s business operations
Investigate attacker infrastructure across domains, DNS, certificate transparency logs, cloud providers, and telecom platforms, and convert findings into concrete detections, controls, and customer protections
Coordinate threat actor infrastructure takedowns with hosting providers, domain registrars, cloud platforms, and other infrastructure partners to disrupt adversary operations at scale
Design and automate intelligence workflows using OSINT tooling, enrichment pipelines, data analysis tools, and case management systems to scale analysis and reporting
Partner directly with Detection & Response, Automation, Customer Trust & Safety (Fraud and Financial Crimes), Security Engineering, Corporate Security, Risk, and executive leaders to prioritize threats based on measurable business risk

What we offer

Challenging, high-impact work to grow your career
Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
Best-in-class benefits to fuel your work, including 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

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

Supervisor, Service Recovery

Airbnb is a mission-driven company dedicated to helping create a world where any...

Location

Ireland , Dublin

Salary:

60000.00 - 70000.00 EUR / Year

Airbnb

Expiration Date

Until further notice

Requirements

4–6+ years of experience leading teams in high-pressure escalation, crisis management, or risk-related environments
Proven experience of incident management in a fast-paced environment
Demonstrated ability to manage multiple urgent, complex cases simultaneously without sacrificing quality or judgement
Strong performance management skills and experience developing individuals into senior-calibre escalation or risk specialists
Exceptional written and verbal communication skills, including the ability to craft executive-ready narratives under time pressure
Proven ability to influence and align senior stakeholders, even when priorities or perspectives differ
High analytical capability and comfort making decisions in ambiguous, evolving contexts
Strong operational judgement and the ability to balance risk mitigation with customer experience
A calm, grounded leadership style that brings steadiness to the team in fast-moving and high-stakes moments
Experience hiring and managing globally dispersed employees is a plus

Job Responsibility

Own and manage end-to-end people strategy for the team: onboarding, capability building, continuous feedback, and performance management
Serve as the primary leader during high-pressure moments or when the Operations Manager is not available, ensuring continuity of service, judgement, and decision-making
Build a culture of accountability, clarity of expectations, and operational discipline across the team
Drive high-velocity prioritization, helping the team manage multiple urgent escalations while maintaining quality and adherence to protocols
Create and own monitoring metrics to ensure best-in-class community service
Oversee the handling of complex, sensitive, and time-critical escalations that carry brand, legal, financial, or trust risk
Serve on call as needed for incident response
Act as escalation point for point specialists and analysts for executive-level escalations, major incidents, and cross-functional escalations requiring fast, senior-level decision-making
Provide hands-on support for the most challenging cases, ensuring direction, narrative consistency, and airtight risk mitigation
Strengthen the team’s ability to independently handle high-judgement work by creating frameworks, playbooks, and escalation routing clarity

What we offer

bonus
equity
benefits
Employee Travel Credits

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Fraud Analyst (Trust & Safety)

Job Description

Job Responsibility

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