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Fraud Intelligence Analyst

Airbnb

Fraud Intelligence Analyst

Airbnb

Canada

·

On-site

·

Full-time

·

6d ago

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.

The Community You Will Join:

Join Air Cover Ops, a global team dedicated to safeguarding Airbnb’s platform integrity and trust. You’ll collaborate closely with Data Science, Product, Trust, Safety, Legal, and Policy teams to proactively disrupt fraud before it impacts our community. In this dynamic, cross-functional environment, you’ll influence high-stakes decisions and partner with global experts to set new standards in fraud prevention.

The Difference You Will Make:

As a Strategic Fraud Specialist, you will lead complex and ambiguous investigations, identifying and disrupting emerging fraud patterns before they reach operational teams. Your work directly strengthens the platform’s fraud resilience and reduces financial risk by translating investigative insights into actionable controls. Success is measured by your ability to uncover hidden fraud rings, create effective early-warning systems, and shape proactive policies that reduce downstream case volume.

A Typical Day:

  • 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.

Your Expertise:

  • 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.

Your Location:

  • This position is Canada
  • Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a province where Airbnb Canada, Inc. has a registered entity. Currently we can hire in the following provinces: Ontario, British Columbia, Quebec, and Saskatchewan. This list is continuously evolving, so please check back with your recruiter on what provinces you are eligible to work from.

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.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

We use automated tools to help our recruiting team efficiently screen a large volume of applications. All final hiring decisions are made by a human reviewer.

This role is newly created and does not replace or backfill an existing position.

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 subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Canada Annual Pay Range**$82,000—$96,000 CAD**

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About Airbnb

Airbnb

An online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet.

5,001-10,000

Employees

San Francisco

Headquarters

$75B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

4.2

Compensation

4.0

Culture

4.1

Career

3.0

Management

4.0

78%

Recommend to a Friend

Pros

Flexibility and work-life balance

Good pay and compensation

Great leadership and bosses

Cons

Dealing with difficult guests

Guest-related damages and messes

Stressful situations with complaints

Salary Ranges

16 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Director

L2 · Business Operations L2

0 reports

$214,500

total / year

Base

$85,800

Stock

$107,250

Bonus

$21,450

$150,150

$278,850

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 44%

Neutral 34%

Negative 22%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit