Fraud Analyst / Anti-Fraud Agent

Isabel Group; Brussel Hoofdstad; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flex Income Plan

Annual bonus

Insurance

Meal vouchers

Hybrid work model

BeFun team activities

Job summary

Isabel Group seeks a Fraud Detection Specialist to protect customers from fraud in payments. You will detect, prevent, and block fraudulent activity using data-driven techniques and collaborate with banking partners.

Join a growth-focused team, work on advanced models and dashboards, and play a key role in shaping Isabel's fraud services while maintaining high ethical standards and customer trust.

Qualifications

• Bachelor’s degree in Finance, Economics, Computer Science, Criminology, or related field.
• Being trilingual (French-Dutch-English) is mandatory.

Responsibilities

• Monitor and manage parked payments on a daily basis.
• Reduce false positives while improving detection accuracy.
• Coordinate with Customer Care and partner banks on fraud-related cases.
• Maintain and refine fraud detection rules and models.
• Act as a subject-matter expert for Isabel’s fraud detection and scoring systems.
• Build dashboards and KPIs to track performance and detection effectiveness.

Skills

Banking/Payments

Fraud Detection

Analytics

Multitasking

BI Tools

AML/KYC

Education

Bachelor's degree

Tools

Data Visualization Tools

Job description

Job description

Let’s shape the future of finance - together

At Isabel, we believe that real innovation happens when people and ideas connect

That’s why we’re building more than technology, we’re building an ecosystem.

One where every voice counts, and where your work can truly make a difference.

We’re looking for curious minds and collaborative builders. People who believe success means growing together, learning from each other, and challenging the status quo.

If that sounds like you, keep reading.

What you’ll do

At Isabel Group, our mission is clear: protect our customers from the ever‑evolving world of fraud — from malware and fake invoices to scams and account takeovers.

This role is all about detecting, preventing, and blocking fraudulent payments using advanced data‑driven techniques, fraud detection tools, and close collaboration with our banking partners.

The function combines three dimensions:

• Operational – Identify and stop fraud in daily payment flows (KPI‑driven).
• Strategic – Strengthen customer trust in Isabel’s payment solutions.
• Collaborative – Build strong relationships with bank fraud teams.

Your tasks will include:

1. Fraud Detection & Prevention
   • Monitor and manage parked payments on a daily basis.
   • Reduce false positives while improving detection accuracy.
   • Coordinate with Customer Care and partner banks on fraud‑related cases.
   • Maintain and refine fraud detection rules and models.
   • Act as a subject‑matter expert for Isabel’s fraud detection and scoring systems.
2. Fraud Intelligence & Big Data
   • Transform data into actionable insight for fraud prevention.
   • Develop data‑mining models and profiling techniques to uncover fraud patterns.
   • Support the BI team in maintaining the transaction‑level data repository.
   • Build dashboards and KPIs to track performance and detection effectiveness.
   • Detect outliers and unusual payment behaviours across customers and banks.
   • Define and configure new detection rules based on data trends.
3. Investigations
   • Analyze parked or suspicious payments to confirm or rule out fraud.
   • Liaise with customers and banks to mitigate risks and prevent losses.
   • Document all investigation details and outcomes with precision.
4. Continuous Improvement & Bank Collaboration
   • Identify process gaps and propose innovative fraud mitigation solutions.
   • Collaborate with Product Management on product improvements.
   • Drive innovation and propose new ideas to enhance Isabel’s fraud services.

Job requirements

What makes you a great fit

Education:

Bachelor’s degree in Finance, Business Administration, Economics, Criminology, Computer Science, or a related field.

Being trilingual (French-Dutch-English) is mandatory.

Experience & Skills:

• Proven background in banking, payments, or fintech.
• Deep knowledge of fraud detection and prevention techniques.
• Strong analytical mindset, customer orientation, and attention to detail.
• Ability to work under pressure and manage multiple priorities.
• Familiarity with big data, BI tools, and data protection regulations.
• Understanding of AML, KYC, and financial crime frameworks is a plus.

Personal Attributes:

• Autonomous, organized, and proactive.
• Analytical and curious, with a sense of urgency.
• Creative problem‑solver with a strong ethical mindset.
• Excellent communicator and team player.

Why join us

• A human‑sized Belgian company (250 people) where your ideas and impact matter
• 50% hybrid work, flexible hours, and autonomy to manage your time
• Coaching, training, and tailored development paths for every career stage
• A flat, collaborative structure with real ownership and cross‑functional work
• Competitive rewards: Flex Income Plan, annual bonus, insurance, meal vouchers
• A strong engagement culture and inclusive mindset
• Easy mobility options: our MOBI strategy supports flexible, low‑footprint commuting, whether by bike, public transport, or electric car
• Professional gatherings that encourage collaboration and networking, as well as fun and purposeful activities led by our BeFun team
• A certified Top Employer with 30 years of tech leadership and ambition

Ready to join us?

Your voice, your vision, and your impact all have a place here.

Let’s shape smarter solutions and a stronger digital economy. Together.