Fraud Optimization Specialist

seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.

We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.

Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue.
Over 5000 businesses, almost 2 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.

We’re looking for a Fraud Optimization Specialist to strengthen the performance of our detection systems. You will analyze fraud patterns, enhance controls, guide new product launches, and partner with Product, Data, and Operations to design scalable, tech-enabled solutions.

This is a hands-on, impact-oriented role for someone who thrives at the intersection of analytics, risk strategy, and cross-functional execution. Your insights will help us reduce losses, accelerate safe growth, and continuously upgrade our fraud ecosystem.

• Identify opportunities to reduce fraud losses on different streams and improve overall profitability, leveraging advanced risk rules and Machine Learning scores.

• Assess fraud risks for new features, launches, and markets, advising Product and Operations, identify control gaps, and define remediation plans.

• Develop and maintain executive dashboards (Metabase/Tableau) to track fraud performance, financial exposure, and other metrics; provide concise fraud insights, trends, and recommendations to leadership.

• Support and implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement.

• Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls, translating complex fraud risk scenarios into scalable, tech-driven solutions.

• 5+ years of experience working with fraud detection technologies, rule writing, or analytics within fintech, payments, BNPL, or e-commerce.

• Proficiency in SQL and data visualization skills (Metabase, Looker, Tableau, Power BI, etc.), with ability to build dashboards, automate monitoring, and interpret large data sets.

• Expertise in fraud typologies, controls, and regulatory frameworks.

• A proven track record of delivering fraud risk assessments, gap remediation, and fraud prevention strategies

• Excellent communication and collaboration skills, with ability to influence cross-functional stakeholders, across product, operations, and compliance.