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Airbnb
Airbnb Senior Advanced Analyst, Fraud & Safety Investigations Recruitment 2026: Apply Online
Senior Advanced Analyst, Fraud & Safety Investigations
Experience Required
6+ years
Salary / Package
Competitive + Benefits & Equity
Work Mode
On-site / Hybrid
Openings
1
Job Overview
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.
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. We are looking for a Senior Advanced Analyst to work with the Fraud & Safety Delivery team, acting as a trusted partner to product teams and business leaders.
- Work with technical and business teams to develop robust insights, create data narratives and define metrics.
- Build advanced analytical capabilities and solve complex problems with data.
- Leverage Airbnb’s machine learning infrastructure and collaborate with engineers and product managers.
- Manage risk while meeting regulatory compliance requirements through structured and unstructured data.
Key Job Details
| Company Name | Airbnb |
| Job Role | Senior Advanced Analyst, Fraud & Safety Investigations |
| Experience | 6+ years |
| Salary Range | Competitive + Benefits & Equity |
| Job Type | Full Time |
| Work Mode | On-site / Hybrid |
| Openings | 1 |
| Job Location | Bangalore, India |
Key Responsibilities
- Execute projects with regular direction; set roadmaps for projects up to a quarter ahead.
- Ensure data quality and integrity for analysis by blending external and internal datasets.
- Perform data modeling for customers, hosts, cases, and agents using modern frameworks.
- Perform ad-hoc reporting, data investigations, and root cause analysis into operational bottlenecks.
- Devise business metric frameworks and optimization models to support product, operations, and policy decisions.
- Experiment with new Airbnb policy and product features to mitigate risk.
- Influence machine learning models in partnership with Data Science and Engineering teams.
Requirements & Qualifications
- 6+ years of industry experience in a quantitative role.
- Advanced degree (Masters or PhD preferred) in Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
- Advanced level proficiency in SQL/NoSQL, Python, R, and SAS.
- Intermediate knowledge of data foundations like Presto, Hive, Teradata, and Spark.
- Proficiency in statistical and machine learning techniques, and Tableau or similar BI platforms.
Required Skills
- SQL & NoSQL
- Python, R, SAS
- Presto, Hive, Teradata, Spark
- Machine Learning & Statistical Modeling
- Tableau & BI Reporting
- Hypothesis Testing & A/B Testing
- Fraud & Safety Operations
About Airbnb
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 globally. Every day, hosts offer unique stays and experiences that connect communities.
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Frequently Asked Questions
Q: What is the location of this job?
A: The role is based in Bangalore, India, within the Analytics Centre of Excellence (ACOE).
Q: What qualifications are required?
A: An advanced degree in a quantitative field such as Statistics, Computer Science, Data Science, or Economics with 6+ years of experience.
Q: What technical skills are needed?
A: Advanced proficiency in SQL, Python, R, SAS, along with machine learning techniques and big data tools.
Q: Does Airbnb offer benefits with this role?
A: Yes, the role is eligible for base pay, bonuses, equity programs, benefits, and Employee Travel Credits.
Q: How can I apply for this position?
A: Candidates can apply directly through the official Airbnb careers portal using the provided application link.
Disclaimer: This job post is prepared by collecting data from the official career page of Airbnb. We are not direct recruiters or representatives. Candidates should carefully review the requirements and policies on the company’s portal before initiating an application.