Fraud Analyst

Sorry, this job was removed at 04:13 p.m. (CST) on Monday, May 26, 2025
Be an Early Applicant
3 Locations
38K-48K Annually
Artificial Intelligence • Big Data • Fintech • Machine Learning
Sift is the AI-powered fraud platform delivering identity trust for leading global businesses.
The Role

We are seeking a dynamic and results-oriented Fraud Analyst to join our team at Sift within the Managed Services organization. The ideal candidate will bring a strong combination of analytical expertise, strategic thinking, and excellent communication skills to deliver impactful, client-focused fraud prevention solutions. In this role, you will serve as the dedicated fraud analyst for Sift’s fully managed customers, playing a key role in identifying emerging fraud trends, conducting manual reviews to enhance machine learning models, optimizing system performance, and implementing tailored recommendations to improve customer outcomes.

What you’ll do

  • Identify potential fraud trends and perform manual reviews to help train machine learning models.

  • Optimize Sift’s performance and value for our managed services clients.

  • Provide system recommendations and implement them to help clients prevent fraud, increase acceptance rates, and improve other key performance indicators (KPIs).

  • Educate internal teams on all topics related to risk, trust, and safety.

  • Help develop engaging, trust-and-safety-focused content for the Sift community.

  • Become an expert in using the Sift product.

What would be a strong fit

  • 4+ years of experience as an individual contributor addressing multiple abuse types (e.g., financial fraud, chargebacks, account takeovers, fake accounts).

  • Proven experience performing manual reviews of transactions and user accounts to detect suspicious activity and fraudulent behavior.

  • Data querying and analysis skills (e.g., Python, SQL, Hadoop, Looker, Spark, scripting, Snowflake, Tableau).

  • Relevant industry certifications such as CFE, CPFPP, or ACFE.

  • Strong cross-functional communication skills.

  • Hands-on experience managing chargebacks, including dispute resolution, and familiarity with chargeback rules and requirements.

  • Ability to work both independently and collaboratively within a team.

  • Strong problem-solving skills with a proactive approach to addressing customer needs.

  • Willingness and ability to travel 2–3 times per year for company events, offsites, and team-building activities.

  • Flexibility to work hours that provide coverage for APAC-based customers.

Nice to have

  • Previous experience using the Sift product.

Benefits and perks

  • Competitive Compensation: Includes financial rewards, an annual 5% bonus, and stock options.

  • Health Insurance Stipend: Support for your medical and health-related needs.

  • Sports and Wellness Stipend: Encouraging a healthy and active lifestyle.

  • Work From Home Stipend: Support in creating a productive home office setup.

  • Education Reimbursement: books, education courses, and conferences to support your professional growth.

  • Mental Health Days: Additional paid day-offs to prioritize your well-being.

  • Language and Public Speaking Development: English courses and social activities within the company to enhance your communication skills.

A little about us

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.

Similar Jobs

Wirex Logo Wirex

Operations Analyst

Mobile • Cryptocurrency • Web3
In-Office or Remote
Wrocław, Dolnośląskie, POL
225 Employees

Graphcore Logo Graphcore

Senior Software Engineer

Artificial Intelligence • Semiconductor
Hybrid
Gdańsk, Województwo pomorskie, POL
488 Employees

Dynatrace Logo Dynatrace

Senior Full-stack Engineer

Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Remote or Hybrid
Gdańsk, Pomorskie, POL
5200 Employees
16K-16K Annually

Boeing Logo Boeing

Experienced Guidance Navigation & Control Engineer

Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
In-Office
Gdańsk, Województwo pomorskie, POL
170000 Employees
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
312 Employees
Year Founded: 2011

What We Do

Sift is the AI-powered fraud platform delivering identity trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.

Why Work With Us

Building trust is at the heart of our business, so it's no accident that Sift is on a mission to help employees build trust with each other, with their teams, and with leadership in order to improve collaboration, knowledge sharing, and learning. We believe in continuous learning, growth, and creating spaces where people can thrive.

Gallery

Gallery

Similar Companies Hiring

Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account