Business Analyst with a strong background in fraud detection and prevention presso Jobgether

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Business Analyst with a strong background in fraud detection and prevention in the European Union.

We are seeking a highly analytical Business Analyst to strengthen fraud detection and prevention efforts across the organization. This role involves analyzing large datasets, identifying emerging fraud trends, and providing actionable insights to mitigate risk. You will collaborate closely with cross-functional teams including data science, engineering, and operations to enhance fraud detection strategies and tools. The position offers the opportunity to shape anti-fraud initiatives in a fast-paced environment, monitor key performance metrics, and implement improvements that directly impact operational efficiency and risk reduction. Your work will help protect customers, assets, and organizational integrity across multiple markets in the European Union.

Accountabilities

• Analyze complex datasets to detect fraud patterns, anomalies, and emerging threats.
• Collaborate with fraud operations, data science, and engineering teams to design, implement, and refine fraud detection rules and models.
• Develop and maintain dashboards and reports to monitor fraud KPIs and operational performance.
• Conduct root cause analysis of fraud incidents and recommend process or system enhancements.
• Support the development and optimization of fraud prevention tools and technologies.
• Document business requirements and translate them into actionable functional specifications for technical teams.
• Stay informed on industry trends, regulatory requirements, and evolving fraud typologies.

Requirements

• Bachelor’s degree in Business, Finance, Data Analytics, or a related field.
• Minimum 5 years of experience as a Business Analyst with a focus on fraud detection and risk mitigation.
• Strong understanding of fraud detection methodologies, tools, and best practices.
• Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI.
• Experience with fraud platforms (e.g., Actimize, SAS) is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively across cross-functional teams in a dynamic environment.
• Knowledge of regulatory frameworks such as AML, KYC, and PCI-DSS is preferred.
• Familiarity with financial services, e-commerce, or payments industry fraud is advantageous.
• Exposure to machine learning concepts applied to fraud detection is a plus.

Benefits

• Competitive salary and performance-based incentives.
• Flexible work arrangements and remote work options within the EU.
• Paid holidays and leave to support work-life balance.
• Training and professional development opportunities.
• Collaborative and innovative team environment with diverse colleagues.
• Exposure to cutting-edge fraud detection technologies and industry best practices.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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