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The role is about:
As a Payment Optimization Analyst, you will play a key role in improving our payment performance by increasing approval rates, reducing friction, and optimizing fraud controls. You'll use data to identify trends, uncover inefficiencies, and work cross-functionally to enhance the overall payment experience for our customers and merchants.
Location: Cyprus or Lithuania
Reporting to: Chief Risk Officer
Key Responsibilities:
- Analyze payment performance data to identify trends, bottlenecks, and opportunities to improve authorization rates and customer conversion
- Develop and implement strategies to increase transaction approvals while maintaining strong fraud and compliance controls
- Collaborate with the Risk team to fine-tune fraud rules and reduce false declines through data insights and advanced decisioning models
- Define and execute strategies for maximizing SCA exemptions (low-value, TRA, whitelisting, secure corporate payments, etc.) in compliance with PSD2 and local regulations
- Partner with Product, Engineering, and Acquiring teams to optimize routing logic, cascading, 3DS usage, and network-level tools
- Build and maintain dashboards to track KPIs such as approval rates, decline reasons, fraud ratios, and exemption utilization
- Act as a subject-matter expert on payment optimization, providing insights to internal teams and supporting merchant discussions on performance improvement
- Engage with card schemes, acquirers, and vendors to identify and resolve performance issues
- Lead continuous improvement projects across payment processing, authorization flows, and operational procedures
- 3-5 years of experience in payment analytics, risk optimization, or a related role in fintech, e-commerce, or payments
- Strong analytical skills with experience in SQL, Excel, or BI tools (e.g., Tableau, Power BI, Looker)
- Solid understanding of card payments, authorization flows, and PSD2/SCA regulations
- Experience working with acquirers, PSPs, or card networks
- Excellent communication and problem-solving skills/ analytical skills/ pro-activness
- (Bonus) Familiarity with fraud management systems or machine learning-based decisioning tools
🧭Hiring Process:
- Step 1- Initial Interview - A 30-40 minute conversation with our Talent Acquisition team to discuss your background, experience, and career goals
- Step 2- Technical Assessment: A role-specific assessment designed to evaluate your practical skills and problem-solving abilities relevant to the position. This may include a written exercise or task to be completed within a specified timeframe
- Step 3- Depth Discussion - A 60-minute interview with the Chief Risk Officer, to explore your skills, achievements, and alignment with the role.
If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy
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