Fraud Analyst Dome Group France Middle just now

Remote Genie; France; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Remote/hybrid options

Workspace stipend (€500)

Health benefits

Annual leisure allowance (€100)

Team events and offsites

Job summary

DataDome is seeking a Threats Research team member to deepen fraud detection across our product line. You will analyze fraud patterns in customers’ traffic and contribute to product development.

You will partner with Solution Engineers and data science leaders to translate insights into new signals, improve detection, and support customers during investigations. You will collaborate with diverse teams to drive robust detection capabilities and contribute to DataDome’s mission of protecting

Qualifications

• Bachelor's degree required.
• Strong data exploration and analysis skills.
• Excellent communication with technical and non-technical stakeholders.
• Strong time management and prioritization.
• Proficient in Python and SQL.
• Experience in cyber security or fraud.
• Comfort with automation and scripting.

Responsibilities

• Develop expertise of fraud patterns across customers’ traffic.
• Improve long-term quality of fraud detection across DataDome product line.
• Handle customer requests regarding fraud case analysis and reporting.
• Contribute to fraud detection product development by suggesting new signals and UI evolution.
• Work with Solution Engineers to capture customers’ insights and meet detection performance expectations.

Skills

Python

SQL

Data analysis

Automation

Cyber security

Fraud detection

Communication

Time management

Education

Bachelor's Degree

Tools

Kibana

Elasticsearch

Job description

DataDome delivers real-time bot and agent trust management, giving businesses complete visibility and control over all traffic—human, bot, or AI. Named a Leader in The Forrester Wave™ for Bot And Agent Trust Management Q2 2026, DataDome is trusted by enterprises like Etsy, PayPal, and Soundcloud. Acting as a traffic control plane, DataDome’s multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds—letting legitimate users through seamlessly across websites, apps, APIs, and MCPs. Backed by a 24 ⁄ 7 SOC and expert threat researchers, DataDome stops 20k+ attacks every second. With 30+ global PoPs, and 80+ ready-made integrations, DataDome is a recognized Leader on G2 across several categories—delivering protection that outperforms.

About the team:

Welcome to the DataDome Customer Experience Department! Our mission is to provide a white-glove onboarding experience on Day 1 and ensure customers are properly enabled to operate the product alongside us Day 2 and beyond. Thanks to a fantastic international team, we are extremely proud to deliver a state-of-the‑art solution for our clients and contribute to DataDome’s worldwide success!

Job overview

You will integrate the Threats Research team which is responsible for constantlyimproving the detection capabilities across our product line.

Your goal will be to challenge and improve our detection capabilities regarding fraud including account take over, fake subscriptions, etc.

Responsibilities

• Develop a deep expertise of fraud patterns observed across our customers’ traffic
• Improve the long term quality of our fraud detection across DataDome product line
• Handle customer requests regarding fraud case analysis and reporting
• Contribute to the fraud detection product development by acting as a power user, recommend UI evolution, new detection signals, etc.
• Work with Solution Engineers to capture customers’ insights, meet detection performance expectations and inflect the product evolution

It would be great if…

Must have:

• Bachelors Degree Required
• Have a real passion for data exploration and analysis
• Good communication skills to interact with both technical and non-technical stakeholders
• Strong time management and priorization skills
• Master Python and SQL
• Strong ability to automate things with scripting and AI
• Experience in cyber security (web threats) or fraud

Nice to have:

• Kibana and Elasticsearch usage experience
• Experience in a technical support role in the past, and willing to discuss directly with product end users

What’s in it for you?

• Flex Life: While we offer remote, hybrid, & in-office options each position specifies the level of flexibility. Our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace if you work hybrid or remotely.
• If you are full remote, the SNCF dicount card is paid for you to come to our office to visit us & your team!
• Generous Health Benefits: We have partnered with Kenko for your healthcare needs.
• A 100€ annual allowance is provided for a leisure activity of your choice in Sports or Culture.
• Annual allowance of €200 if you come to the office by bike to cover maintenance costs.
• Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
• Events & Team building: #We care and we have fun! We organise ****Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture
• Parent Care: Gift & care packages for parents.
• PTO: Based on the country you are based from (e.g. 25 days in France).

What are the next steps?

• A Talent Acquisition Specialist will contact you for an initial conversation.
• You will meet with members of our Research and Data Science Leadership Team.
• You will complete a technical assessment and present your findings during a peer interview.
• You will meet with the Head of our Technology Team.
• The final step will be a one-on-one meeting with Benjamin, our CEO.
• Welcome to DataDome!

DataDome is an equal-opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.