--- title: 'Senior Advanced Analyst, Fraud & Safety Investigations at Airbnb' canonical: 'https://feeny.ai/job/senior-advanced-analyst-fraud-safety-investigations-airbnb-bengaluru-r9612sx3bbav' type: 'job' last_seen: '2026-09-23' --- # Senior Advanced Analyst, Fraud & Safety Investigations at Airbnb - **Company:** Airbnb - **Location:** Bengaluru, India - **Compensation:** INR 2.0M–INR 2.8M - **Posted:** 2026-09-23 - **Last confirmed live:** 2026-09-23 - **Apply:** https://careers.airbnb.com/positions/8225785?gh_jid=8225785 ## Job description Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Description Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a senior advanced analyst in our India Analytics team who works with the Fraud & Safety Delivery team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Fraud & Safety organization. The Difference You Will Make: - Work with technical and business teams to develop robust insights, create data narratives and leverage Airbnb’s rich data to define metrics. - Build advanced analytical capabilities and tools, passionate about solving complex problems with data; adding  a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis. - Leverage Airbnb’s state-of-art machine learning infrastructure, and other central data science tools to build and collaborate with a strong team of engineers, product managers, designers and operation agents to achieve shared, cross-functional goals. - You have a strong sense of urgency for and commitment to Airbnb’s mission of belonging. - Develop a deep understanding of how guests and hosts interact with our Fraud & Safety frictions and how we can manage our risk while meeting our regulatory compliance requirements, through structured and unstructured data sources. A Typical Day: - Execute projects with regular direction; Set a roadmap for projects up to a quarter ahead providing constant updates to business stakeholders, analytics management and deliver against agreed timelines. - Ensure the availability of data quality and data integrity for analysis and reporting, by blending external and internal data, working closely with global operations and India analytics functions. - Perform data modeling for the various entities involved in Airbnb including customers, hosts, cases, agents, and others using modern data modeling tools and frameworks to provide the analytical foundation. - Execute ad-hoc reporting, data investigations, and root cause  analysis into various operational areas including policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies. - Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnb’s product, operations and policy issues - Influence data-driven decisions across global sites and business verticals in day-to-day via business reviews, self-serve portal, planning scorecards, and impact analyses among others. - Experiment with new Airbnb policy / product features to help deter and mitigate risk - Influence machine learning models in partnership with DS / Engg teams to automate policy enforcement decisions, while enqueueing the most complex cases for manual review by agents Your Expertise: - 6+ years of industry experience and an Advanced degree in Business Analytics or other (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). - Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences - Proven track record of delivering full stack data projects from inception to business impact. - Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. - Advanced level proficiency in statistical and machine learning techniques, Tableau or similar BI platform to develop reports and dashboards - Familiarity with EDA, hypothesis testing, significance testing, linear regression, logistic regression, SVM, ridge regression, lasso regression, random forest, basic concepts of NLP, KNN, K-Means, A/B testing, multivariate testing, and digital funnel testing. - Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity. - Exceptional problem-solving abilities, self-motivation and ability to work autonomously, strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines. - Knowledge and experience in Fraud & Safety operations, systems and tools would be a plus Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. India Annual Pay Range ₹1,960,000—₹2,800,000 INR Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @[airbnb.com](http://airbnb.com) or @[ext.airbnb.com](http://ext.airbnb.com) email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb. ## About Airbnb ## Company Overview - **One-liner**: Airbnb operates a global marketplace for unique stays, experiences, and adventures, connecting hosts with travelers. - **Entity Type**: Public (NASDAQ: ABNB) - **Headquarters**: San Francisco, California, United States - **Founded**: 2007 - **Founders**: Brian Chesky, Joe Gebbia, Nathan Blecharczyk ## Core Business - **Primary industry/industries**: Online Travel & Hospitality, Software Development - **Target customers**: B2C (travelers), C2C (hosts), with some B2B (Airbnb for Work, business travel) - **Mission or purpose statement**: To create a world where anyone can belong anywhere, providing unique travel experiences and economic opportunity for hosts. ## Products & Services - **Airbnb Stays**: The core platform for booking short-term rentals (entire homes, private rooms, shared spaces) in over 220 countries and regions. - **Airbnb Experiences**: Curated, hands-on activities hosted by locals (e.g., cooking classes, guided hikes, workshops). - **Airbnb Adventures**: Multi-day, small-group immersive trips led by local experts. - **Airbnb for Work**: A service for companies to manage business travel and team retreats. - **Luxe**: A premium tier offering vetted, high-end vacation homes with dedicated trip designers. ## Market Standing - **Valuation/Market Cap**: ~$77.8B (as of recent data) - **Key Metric**: Annual Revenue of $12.2B (based on available data) - **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz, Founders Fund, Y Combinator - **Growth Signals**: - **From 2007 to present**: 1.5 billion guest arrivals globally. - **Headcount Growth**: Employs ~21,644 people, a **+30.6% year-over-year increase**. - **Global Reach**: Operates in 176 countries with a strong international team (e.g., offices/employees in India, Italy, Canada, Brazil, UK, Australia, China). - **Public Company Status**: IPO in 2020, trading on NASDAQ. ## Competitive Advantages - **Network Effects**: A massive, global two-sided network of 5 million+ hosts and 1.5 billion arrivals creates a formidable moat that is very difficult for competitors to replicate. - **Brand & Trust**: A globally recognized brand synonymous with alternative accommodations and travel experiences. - **Liquidity & Inventory**: Unrivaled inventory depth across 220+ countries, offering unique stays not found in traditional hotels. - **Live and Work Anywhere Policy**: A radical shift in work culture that offers flexibility and a competitive edge in talent acquisition, allowing employees to live anywhere in their country of employment with no compensation change. ## Strategic Focus - **International & Mainstream Expansion**: Continuing to grow its user base beyond early adopters into mainstream travel and new international markets. - **Product Diversification**: Pushing hard into "Experiences" and "Adventures" to reduce reliance on accommodations and capture more of the travel wallet. - **Leveraging AI & Technology**: Investing in AI (e.g., AI Engineer roles in Community Support) to improve the guest and host experience, search, and trust & safety. - **Return to Travel & "Live Anywhere"**: Capitalizing on the post-pandemic shift towards remote work and long-term stays with its "Live and Work Anywhere" initiative. ## Why Work Here - **Flexibility**: A ground-breaking **"Live and Work Anywhere"** policy. Employees can work from home, an office, or temporarily anywhere in the world (with approval). Compensation is not changed when moving within their country of employment. - **Compelling Mission**: An opportunity to work on a platform that creates connection and economic empowerment for millions of people globally. - **Diversity & Belonging**: Strong commitment to inclusion with numerous Employee Resource Groups (ERGs) such as Able@, Black@, Women@, Parents@, and many more. - **Great Benefits**: - **Travel Credit**: Quarterly Airbnb travel and experiences credit. - **Education**: Annual educational stipend. - **Wellbeing**: Subsidized healthcare, mental health support, family care support, and generous parental leave. - **Equity**: Competitive compensation including equity and an Employee Stock Purchase Program (ESPP). - **Culture**: Values-driven with a focus on "Be a Host" (caring, open, encouraging), "Champion the Mission," and "Embrace the Adventure." - **Work Model**: Supports a mix of remote, hybrid (be close to an office), and onsite work, giving employees significant control over their schedule. - **Talent Community**: A highly creative and collaborative environment with industry-leading talent. ## Sources 1. [careers.airbnb.com](https://careers.airbnb.com/) 2. [careers.airbnb.com/life-at-airbnb/](https://careers.airbnb.com/life-at-airbnb/) 3. [airbnb.com](https://www.airbnb.com/) 4. [linkedin.com/company/airbnb](https://sg.linkedin.com/company/airbnb) 5. 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