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**Why you should join dLocal?**

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a versátil, remote-first dynamic culture with travel, health, and learning benefits, among others. Being a part of dLocal means working with 900+ teammates from 25+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

As part of the Fraud Prevention Tactics team, you will work on deciding the fraud prevention strategy for each industry. The objective will be to optimize the decision of which payments we have to reject and make decisions that continue to improve the user experience, keeping in mind the chargeback and conversion rate targets.

**What will I be doing?**:

- Identifying fraud patterns by continuous data analysis & review of previous fraud. Monitoring current traffic to have an early warning in case of an attack




- Developing rules and implementing them on the respective fraud engine, setting the right threshold to the machine learning models transactional scoring systems, and working together with the data science team to improve prediction accuracy, focusing both on conversion and fraud prevention analysis
- Defining combinations between rules, machine learning models scores and third-party providers data to maximize the conversion and fraud rates objective for each industry
- Analyzing new databases to improve the amount of relevant data provided

**What skills do I need?**:

- Bachelor's degree in Economics, Engineering, statistics, or related field.
- 1-3 years of experience in fraud prevention or a similar industry.
- Proficiency in handling large databases; SQL is a must.
- Knowledge of Python or similar data-oriented languages like R is a plus.
- Experience with data management tools such as AWS Sagemaker, Athena, or
- Quicksigh it's a bonus.
- Strong analytical skills and compassion for discovering new patterns and making
- data-driven decisions.
- Attentiontodetailwithoutlosingsightofthebigpicture.
- Enthusiastic, proactive, team player, and problem-solver.
- Fluent in written and spoken English.

**What happens after you apply?**

Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1asoen

📌 Fraud Prevention Analyst Ii (Colombia)
🏢 Dlocal
📍 Colombia