Fraud Prevention Team Lead - AI Automation & Growth

Nodi

Buenos Aires

Hybrid

ARS 139,018,000 - 200,803,000

Full time

9 days ago

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Job summary

dLocal is seeking a Team Leader for its Fraud Prevention Buyer Strategy team in Buenos Aires. You will oversee a merchant portfolio, monitor fraud and conversion, and lead analysts to translate priorities into coordinated actions.

You will champion AI-enabled automation and drive scalable process improvements to reduce manual work and increase capacity. You will guide collaboration with Data Science, IT, and Commercial teams, set actionable objectives, and build solutions that balance fraud

Qualifications

  • Bachelor’s degree in Economics, Engineering, Statistics, or a related field.
  • Experience in fraud prevention, including managing fraud scores.
  • Strong analytical skills with data-driven decision making.
  • Proficiency in SQL and Python for data analysis.
  • Hands-on experience with AI tools and ML concepts.
  • Proven track record of leading and coaching teams.
  • Ability to identify automation opportunities and scale processes.

Responsibilities

  • Oversee a portfolio of merchants, monitoring fraud and conversion performance.
  • Lead, coach, and support a team of analysts.
  • Set priorities with Data Science, IT, and Commercial.
  • Drive AI-based automation initiatives and implement solutions.
  • Identify repetitive processes and drive workflow improvements.
  • Communicate findings and recommendations across Fraud Prevention and partner teams.

Skills

Fraud prevention
Analytics
SQL
Python
AI tools / ML
Leadership
Automation mindset

Education

Bachelor’s degree in Economics/Engineering/Statistics

Tools

SQL
Python
AI platforms

Job description

dLocal is seeking a Team Leader for its Fraud Prevention Buyer Strategy team in Buenos Aires. You will oversee a merchant portfolio, monitor fraud and conversion, and lead analysts to translate priorities into coordinated actions.

You will champion AI-enabled automation and drive scalable process improvements to reduce manual work and increase capacity. You will guide collaboration with Data Science, IT, and Commercial teams, set actionable objectives, and build solutions that balance fraud

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