Data Analyst - Fraud Intelligence Team
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What you'll do
- Research and investigate new and evolving fraud modus operandi (MOs) across our merchant base
- Analyze large-scale transactional data using SQL (and R or Python) to uncover patterns, anomalies, and emerging fraud trends
- Collaborate with Data Science, Product, and Engineering to help build, define, and refine new fraud-detection tools
- Translate research findings into actionable insights that directly improve detection accuracy and merchant performance
- Monitor and evaluate the performance of existing detection logic, flagging gaps or drift as fraud patterns evolve
- Document investigation findings and methodologies, strengthening the team's shared knowledge base
- Work cross-functionally with Risk Operations and Account Management to respond quickly to new fraud threats
What they're looking for
- 2-3+ years of relevant strong analytical experience with complex data
- 2+ years of hands-on work experience with SQL (must be proficient)
- Proven expertise in analysis tools such as R and Python
- Experienced problem-solver with critical thinking skills
- Ability to work simultaneously on different tasks and lead multiple projects
- Full working proficiency (both written and verbal) in English
- Effective presentation skills, with a track record of client-facing experience
Nice to have
- Advantage - experience in fraud, payments, or ecommerce domains
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
Join our Fraud Intelligence team at Riskified! As a Data Analyst on this team, you'll play a key role in helping us mitigate fraud and stay ahead of the fraudsters targeting our merchants. You'll research new and emerging fraud modus operandi (MOs), dive deep into transactional data, and help build and define the detection tools that power our fraud-prevention engine. This role sits at the core of Riskified's product and performance — the strength of our detection is a direct result of the work this team does every day.
What You'll Be Doing
- Research and investigate new and evolving fraud modus operandi (MOs) across our merchant base
- Analyze large-scale transactional data using SQL (and R or Python) to uncover patterns, anomalies, and emerging fraud trends
- Collaborate with Data Science, Product, and Engineering to help build, define, and refine new fraud-detection tools
- Translate research findings into actionable insights that directly improve detection accuracy and merchant performance
- Monitor and evaluate the performance of existing detection logic, flagging gaps or drift as fraud patterns evolve
- Document investigation findings and methodologies, strengthening the team's shared knowledge base
- Work cross-functionally with Risk Operations and Account Management to respond quickly to new fraud threats
Qualifications
- 2-3+ years of relevant strong analytical experience with complex data
- 2+ years of hands-on work experience with SQL (must be proficient)
- Proven expertise in analysis tools such as R and Python
- Experienced problem-solver with critical thinking skills
- Ability to work simultaneously on different tasks and lead multiple projects
- Full working proficiency (both written and verbal) in English
- Effective presentation skills, with a track record of client-facing experience
- Advantage - experience in fraud, payments, or ecommerce domains
*Please submit your CV/Resume in English
We include transparent salary ranges to support fairness, clarity, and informed decision-making early in the process. The base salary range for this position is €37,000 - €42,000 gross annually for candidates based in Lisbon. Your actual salary will be determined based on your unique skills, experience, and competencies. If your expectations differ, please let us know - we’re always open to a conversation.
The base salary is one part of the total compensation package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees.
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Healthcare benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
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