10 hours ago

Payment & Fraud Data Analyst

Patrianna

Hybrid
Full Time
£60,000
Hybrid

Job Overview

Job TitlePayment & Fraud Data Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£60,000
LocationHybrid

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Job Description

About Patrianna

Patrianna is a fast-growing product development company headquartered in Gibraltar, with a globally distributed team delivering cutting-edge solutions in the social gaming space. We're on a mission to create seamless, engaging, and scalable gaming experiences for millions of players around the world.

As we grow, we're building out a world-class operational engine—and we're looking for talented professionals across CRM, fraud & risk, payments, marketing, and player support who thrive in a fast-paced, high-growth environment.

We believe in smart execution, continuous improvement, and cross-functional collaboration. Our operational teams are hands-on, data-driven, and empowered to move quickly—making real impact from day one. If you're ambitious, solution-oriented, and passionate about optimizing processes and performance, you'll feel right at home here.

The Role of a Payment & Fraud Data Analyst

Turn payment and fraud data into actionable insights that boost transaction success while keeping fraudsters at bay.

What You Will Be Doing

  • Analyze payment data using SQL and create compelling dashboards with Tableau, PowerBI, or Looker to track key metrics and test outcomes
  • Implement strategies to reduce payment declines and enhance transaction success rates by analyzing failure trends and developing recovery solutions
  • Build chargeback mitigation strategies through trend analysis and automated triggers to protect merchant accounts and reduce dispute rates
  • Develop detection logic to identify bonus abuse, multi-accounting patterns, and synthetic identities while collaborating on risk-scoring models
  • Design and analyze AB tests to drive continuous improvement in payment and fraud processes
  • Work closely with cross-functional teams including payment, fraud, and product departments to optimize the player experience

What We Are Looking For

  • Strong SQL skills with experience in data visualization tools like Tableau or PowerBI
  • Solid background in the gambling industry, particularly in payments and fraud prevention
  • Experience with AB testing methodologies and statistical analysis
  • Python skills are a valuable bonus for advanced analytics and automation
  • Sharp analytical thinking with exceptional attention to detail
  • Excellent collaboration and communication skills for cross-functional teamwork

Why you will love it

You'll be at the center of protecting millions of players while optimizing their payment experience. Every analysis you do directly impacts both revenue and player satisfaction, giving you real influence over business outcomes. Plus, you'll work with cutting-edge fraud detection technology in a fast-paced environment where your insights drive immediate action and continuous innovation.

Key skills/competency

  • SQL
  • Data Visualization (Tableau, PowerBI, Looker)
  • Payment Processing
  • Fraud Prevention
  • AB Testing
  • Statistical Analysis
  • Python (desirable)
  • Risk Scoring
  • Chargeback Mitigation
  • Gambling Industry Knowledge

Tags:

Payment & Fraud Data Analyst
Payment Data
Fraud Analysis
SQL
Data Visualization
Gambling Industry
AB Testing
Risk Scoring
Chargeback Mitigation
Python
Tableau
PowerBI
Looker
Analytics
Data Science
ETL
Databases
Big Data
Cloud Analytics
Statistical Modeling

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How to Get Hired at Patrianna

  • Research Patrianna's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
  • Tailor your resume for analytics: Highlight your SQL expertise, data visualization projects, and experience in fraud prevention or payment optimization.
  • Showcase industry experience: Emphasize any background in the gambling industry or similar high-transaction environments relevant to payment and fraud.
  • Prepare for technical interviews: Be ready to discuss SQL queries, data modeling, A/B testing frameworks, and your approach to complex data problems.
  • Demonstrate problem-solving: During interviews, articulate how you've turned data into actionable solutions for payment success or fraud detection.

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