Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across Arpeelys platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.
What Youll Do
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across Arpeelys platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.
Requirements:
SQL Expertise: 5+ years of experience working with complex queries on large datasets (BigQuery experience is a plus).
Fraud Analysis & Data Interpretation: Proven ability to detect anomalies, investigate suspicious patterns, and mitigate fraud.
Python Proficiency: Experience using Python for advanced analytics and automation.
Critical Thinking & Problem-Solving: Strong analytical skills to diagnose fraud root causes and implement solutions in a fast-paced environment.
Communication Skills: Ability to present insights, investigations, and recommendations clearly to both technical and non-technical stakeholders.
Self-Starter Mentality: Independent, proactive, and motivated to tackle fraud at scale.
Ad Fraud & Digital Advertising Knowledge is an advantage: Familiarity with IVT (Invalid Traffic), bot detection, and ad fraud prevention tools.
SQL Expertise: 5+ years of experience working with complex queries on large datasets (BigQuery experience is a plus).
Fraud Analysis & Data Interpretation: Proven ability to detect anomalies, investigate suspicious patterns, and mitigate fraud.
Python Proficiency: Experience using Python for advanced analytics and automation.
Critical Thinking & Problem-Solving: Strong analytical skills to diagnose fraud root causes and implement solutions in a fast-paced environment.
Communication Skills: Ability to present insights, investigations, and recommendations clearly to both technical and non-technical stakeholders.
Self-Starter Mentality: Independent, proactive, and motivated to tackle fraud at scale.
Ad Fraud & Digital Advertising Knowledge is an advantage: Familiarity with IVT (Invalid Traffic), bot detection, and ad fraud prevention tools.
This position is open to all candidates.
