Antifraud Data Engineer
Barcelona, Spain
Manychat
Automate two-way, interactive conversations in Instagram Direct Messages, Facebook Messenger, and SMS to grow your brandWHO WE ARE
Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.
Manychat is a Meta Official Business Partner, backed by top investors, including Bessemer Venture Partners.
With 250+ teammates across three global offices — Barcelona, Yerevan, and Austin — Manychat helps more than one million businesses worldwide interact with billions of customers in real-time at scale.
No matter the use case — generating leads, increasing engagement, providing 24/7 customer support, accepting payments, and beyond — Manychat helps businesses improve their ROI and grow faster.
WHAT WE'RE LOOKING FOR
We are seeking an experienced Antifraud Data Engineer, who combines data analytical skills with the ability to design and implement scalable, data-driven solutions for fraud detection and prevention. This role requires a self-starter who can operate at a strategic level while collaborating across teams to build unified and effective antifraud systems.
The ideal candidate will possess experience in fraud detection or risk analytics, coupled with advanced skills in analytics, data processing and machine learning. He also shall be able to communicate complex findings to the cross-functional teams.
You will join Data Engineering team, taking responsibility for analytical data pipelines, collecting, processing and using data about potential fraudulent activities. Your main stakeholder will be the Head of Security, who oversees fraud risk mitigation. We expect a candidate will be able to design consistent approach to a fraud preventions in Manychat, making next step from ad-hoc measures to unified solution.
Key Responsibilities:
- Execute Fraud Prevention Initiatives: Conduct analytics to detect fraudulent activities across Manychat platform (eg. spam, fraud, billing abuse, trial abuse detection).
- Develop Advanced Machine Learning Solutions: Design and improve machine learning services to detect and prevent fraud across the Manychat platform.
- Ensure Data Integrity and Availability: Establish and maintain robust pipelines for collecting, processing, and storing data critical to fraud detection.
- Empower Teams with Insights: Develop intuitive alerts and BI dashboards to identify anomalies and provide actionable insights to stakeholders.
WHAT YOU’LL BRING
Must haves:
- Technical Expertise in Data Analysis and Statistics: Deep understanding of mathematical statistics, including statistical modeling, data classification, anomaly detection, and predictive analytics. This includes the ability to interpret data patterns and translate them into actionable anti-fraud strategies.
- Advanced Technical Skills: Proficiency in SQL for querying and analyzing large datasets, Python for developing custom fraud detection models. Familiarity with Snowflake, BigQuery or similar tools for fraud-related data storage and querying.
- Fraud Detection and Prevention Knowledge: Hands-on experience with fraud detection techniques such as rule-based systems, machine learning models, and behavioral analytics. Familiarity with implementing and fine-tuning fraud scoring systems and thresholds, or similar ML models.
- Strategic Thinking and Problem Solving: Ability to think strategically and anticipate potential vulnerabilities or fraud vectors. Experience in proactively identifying risks, proposing solutions, and implementing systems to address them effectively.
- Cross-Functional Collaboration Experience: Demonstrated ability to work collaboratively with product managers, engineers, and other stakeholders to implement anti-fraud features and initiatives effectively.
Nice to haves:
- Experience with BI tools (e.g., Tableau, Looker, or Power BI) for creating actionable visualizations and dashboards.
- Previous experience in designing antifraud systems.
- Experience with LLMs, embedding and various NLP technics.
- Experience with building robust ETL pipelines.
- Experience with Git for managing code and data pipelines.
- Familiarity with AI-driven fraud detection techniques and interest in emerging technologies in this space.
WHAT WE OFFER
We care about your growth, well-being, and comfort
- Professional development budget for relevant conference tickets, training programs, or courses.
- Flexible benefits plan to choose the perks that fit your needs.
- Health insurance including dentistry, psychology sessions, nutrition consultations, surgery, and travel assistance.
- Hybrid work format.
Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Classification Data analysis Data pipelines Engineering ETL Fraud risk Git LLMs Looker Machine Learning ML models NLP Pipelines Power BI Python Security Snowflake SQL Statistical modeling Statistics Tableau
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