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Risk Data Analyst

hace 3 meses


Barcelona, Barcelona, España Pay Retailers A tiempo completo
At PayRetailers, we are committed to providing cutting-edge solutions that empower businesses to succeed in Latin America. Our collaborative and inclusive work environment encourages creativity and growth, where every employee's contribution is valued.

Get ready to embark on an exciting journey with us, as we strive to make a meaningful impact on the world of payments.

PayRetailers' Risk Analytics department is fueled by a passion for continuous improvement and problem solving.

We are looking for a talented
Risk Data Analyst to join our team and develop best in class Risk Intelligence infrastructure that will create value for PayRetailers and its customers.


Job duties and Responsabilities:

  • Contribute to the department's Risk Intelligence infrastructure by managing data and creating dashboards for efficient analytics and reporting.
  • Produce adhoc reports by extracting and analysing data from external and internal sources, to perform detailed analysis and identify patterns.
  • Develop and conduct risk assessment processes of PayRetailers payment products.
  • Implement, review, and adjust decisioning rules to reduce exposure to emerging fraud trends and maintain Risk KPIs at acceptable thresholds.
  • Partner with Product and IT stakeholders to validate, deploy and improve Risk Management systems.
  • Work closely with Risk Managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decisionmakers

Experience and Qualifications:

  • BS/BA or higher degree in a quantitative field (computer science, engineering, etc.).
  • At least 1 year experience working in risk or fraud detection in the Payments Industry.
  • Proficient with SQL for data retrieval and manipulation.
  • Practical experience in statistical analysis of large complex datasets and converting them into information which drives business decisions, and producing data visualizations using BI tools like Power BI.
  • Excellent written and verbal communication skills in English (internal work language).
  • Working hours from 09:30 to 18:30h from Monday to Friday (Reduced working hours on Fridays).

What We Offer:

  • Competitive salary
  • Opportunities to grow within a company in hypergrowth stage
  • Additional days of holidays
  • Free language classes ‍
  • Private health insurance covered by the company.
  • At least one day of teleworking per week
  • Free catering in the office
  • Possibility to increase your net salary through our flexible retribution partner
  • Excellent work environment and good collaboration
  • Free coffee/Tea and snacks from the company
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