Are you ready to build the future of Latin America? 🚀
At Rappi, we build the SuperApp that changes the lives of millions of people every day. We are a team driven by speed, execution, and real results.
This is where things happen. If you are excited by solving real-scale problems, learning at record speed, and seeing the impact of your ideas in a matter of days, this is your place.
Are you passionate about transforming data into strategic decisions? 💼
The challenge
Rappi is growing fast and needs exceptional talent. We are looking for a Growth Fraud Prevention Junior Analyst to turn complex challenges into opportunities for impact for millions of users in LatAm.
Your challenges
DAY TO DAY
Data analysis: develop complex analyses using advanced SQL to identify behavioral patterns, trends, anomalies, and optimization opportunities.
Fraud monitoring: monitor fraud, risk, and friction indicators, identifying deviations and opportunities for improvement.
Strategy optimization: evaluate the performance of fraud prevention rules and propose adjustments to reduce false positives without compromising risk controls.
User and transaction analysis: identify risk profiles, suspicious behaviors, and opportunities to release legitimate users.
Reporting & Dashboards: develop and maintain reports and dashboards to monitor KPIs and facilitate decision-making.
Artificial Intelligence: use tools such as ChatGPT, Claude, and Gemini to accelerate analyses, develop queries, automate tasks, investigate issues, and optimize processes.
Automation: identify opportunities to simplify operational and analytical processes using SQL, AI, and other technological tools.
Experimentation and monitoring: participate in testing, launches, and evaluations of new fraud prevention strategies, measuring their impact on fraud, friction, approval, and GMV.
Cross-functional work: collaborate with Fraud, Product, Data, Operations, and Business teams to implement initiatives and accelerate decision-making.
Documentation and continuous improvement: document analyses, processes, results, and learnings, fostering a culture of continuous improvement.
You will be a great fit
PROFILE REQUIREMENTS
Experience: 1–2 years in data analysis, Fraud Prevention, Risk Management, Analytics, or operations, preferably at technology companies.
Education: Completed university degree or in the final stage of a quantitative and analytical degree program, preferably in Economics, Mathematics, Statistics, Engineering (Industrial, Systems, Computer Science), Data Science, Actuarial Science, or a related field.
Advanced SQL: Proficiency in complex queries, CTEs, Window Functions, Joins, Subqueries, and query optimization. Essential requirement.
Excel / Google Sheets: Intermediate to advanced level, with the ability to manipulate and analyze large volumes of information.
BI tools: Experience with Looker, Power BI, or Tableau (preferred).
Artificial Intelligence: Hands-on experience using tools such as ChatGPT, Claude, and Gemini for data analysis, SQL generation and optimization, task automation, and process improvement.
Data analysis: Ability to interpret information, identify patterns, detect anomalies, and turn data into actionable recommendations.
Business knowledge: Interest or experience in fraud prevention, payment methods, chargebacks, risk management, and e-commerce.
English: Basic-intermediate level, with the ability to understand technical documentation.
Work environment: Experience at startups, fintech companies, marketplaces, or technology companies (preferred).
Personal competencies: Critical thinking, autonomy, proactivity, attention to detail, results orientation, effective communication, and ability to learn continuously.
Tech profile
What you need to master
Advanced SQL: proficiency in complex queries, CTEs, Window Functions, joins, subqueries, and query optimization for analyzing large volumes of data.
Excel / Google Sheets: intermediate-advanced level. Managing databases, pivot tables, formulas, and information analysis.
BI and data visualization: knowledge of Looker, Power BI, or Tableau.
Data analysis: ability to identify trends, patterns, anomalies, and opportunities for improvement.
Fraud Prevention / Risk Management: knowledge of transactional fraud, loss prevention, chargebacks, and risk management (desirable).
Business metrics: knowledge of KPIs such as Fraud Rate, Chargeback Rate, Approval Rate, Rejection Rate, and Friction Rate.
Statistical analysis: knowledge of statistics, segmentation, and behavioral analysis.
Artificial Intelligence tools: experience using tools such as ChatGPT, Claude, and Gemini for data analysis, SQL generation and optimization, task automation, research, and problem-solving.
Automation and productivity: interest and ability to incorporate AI tools into analytical and operational processes.
Python: basic or intermediate knowledge (desirable).
What makes you different
Analytical and structured thinking.
Critical thinking and problem-solving.
Ownership and accountability.
Focus on results and business impact.
Attention to detail.
Technological curiosity and an innovative mindset.
Adaptability and continuous learning.
Effective communication and ability to present insights.
Collaboration and working in multidisciplinary teams.
We believe our talent deserves the best tools to make an impact with purpose.
Colombia 🇨🇴
At Rappi, diversity makes us stronger
We believe diverse and inclusive teams build the best products, and we actively seek people of all genders, ages, backgrounds, religions, and sexual orientations. If you want to build the future of Latin America, your place is here.
Will you join the team? At Rappi, the limit is the one you set for yourself. If you are excited about learning in motion and building solutions that scale to millions, we want to meet you.