Fraud Prevention Analyst II - Latam (Remote)

As a Fraud Prevention Analyst II at dLocal, you will play an essential role in developing and optimizing fraud prevention strategies tailored for different industries. This involves identifying fraud patterns through continuous data analysis, creating efficient fraud detection rules, and collaborating closely with our data science team to enhance machine learning model rules. You'll also be responsible for maintaining KPIs and building relationships with key clients to ensure their unique fraud prevention needs are met. Your contributions will significantly impact both user experience and conversion rates.

To qualify for the Fraud Prevention Analyst II position at dLocal, candidates should have a Bachelor's degree in Economics, Engineering, Statistics, or a related field. We prefer individuals with 1-3 years of experience in fraud prevention or a similar area. Proficiency in SQL and familiarity with data-oriented programming languages such as Python are critical, while experience with data management tools like AWS Sagemaker or QuickSight is a plus. Strong analytical skills, attention to detail, and a customer-centric approach are crucial attributes we seek.

At dLocal, we pride ourselves on a flexible, remote-first work environment that allows you to thrive from anywhere in the world. Our culture is dynamic and inclusive, filled with diverse talent from over 30 nationalities. We focus on performance and provide opportunities for growth and development through learning programs and social activities. You can expect a supportive atmosphere where collaboration and innovation are encouraged.

dLocal is committed to your professional growth, offering a plethora of learning and development opportunities designed to enhance your skills. Employees gain access to a Premium Coursera subscription, allowing them to take courses that align with their aspirations. Additionally, we provide language classes in English, Spanish, or Portuguese to foster communication and collaboration within our diverse team. We also have programs like the referral bonus, which promotes internal talent recruitment, further enhancing team engagement.

As part of the dLocal team, you'll enjoy a variety of tailored benefits designed to improve your work-life balance and overall well-being. These include remote work flexibility, performance-driven schedules, social budgets for team bonding, and an opportunity to rent shared houses for coworking experiences. We also provide travel and health benefits, along with ongoing learning resources to empower you to reach your fullest potential.

In preparing your response, detail a specific example where your analytical skills helped uncover fraud patterns. Highlight the methods you used for analysis and the outcome of your investigation. Discuss how your findings led to adjustments in fraud prevention strategies, underscoring your ability to transform data into actionable insights.

Explain your approach to rule development by discussing the data sources you examine and the techniques you apply to assess risk levels. Provide an example of a time you've successfully implemented such rules and the positive effects it had on conversion rates and fraud reduction. Emphasize the importance of ongoing monitoring and adaptation in your strategy.

Share your practical experiences using SQL and any other relevant programming languages like Python or R. Discuss specific projects or tasks you've completed that utilized these skills. Be ready to provide examples of how these languages helped you manipulate large datasets to identify fraud incidents or develop insights.

Highlight your collaborative skills by providing examples of past experiences. Discuss how you prioritize communication, feedback, and sharing insights with the data science team. Emphasize your willingness to learn from others and adapt to new ideas, as well as your contributions to developing new features and machine learning models.

Preparing a detailed response involves showcasing how you approached KPI management methodically. Outline the KPIs you were responsible for, the specific measures you took to ensure they were met, and any adjustments you made along the way. Discuss how you communicated progress with clients, tailored solutions to their needs, and achieved successful outcomes.

Articulate your enthusiasm for joining dLocal by connecting your personal and professional values with the company's mission. Mention your interest in working in the fintech space, your desire to contribute to emerging markets, and how being part of a diverse global team excites you. Make it clear that you've researched dLocal's culture and values and how they align with your career aspirations.

Discuss the factors you prioritize when evaluating new databases, such as data quality, relevance to fraud detection, and compatibility with existing systems. Provide examples of particular databases you've assessed in the past and how your analysis influenced decision-making regarding data integration strategies.

Explain your methods for staying updated on industry trends, tools, and best practices. Discuss your use of professional networks, relevant publications, and participation in webinars or workshops. Articulate your commitment to continuous learning and how you apply new insights to enhance your performance as a Fraud Prevention Analyst.

Offer a specific scenario where your analytical skills enabled you to address a pressing challenge. Describe the problem in detail, the analytical techniques you employed to find a solution, and the result of your efforts. Highlight your ability to think critically and adapt your approach as needed.

Share your techniques for balancing attention to detail with a strategic overview. Mention the tools or methodologies you use, such as systematic review processes or project tracking systems. Illustrate with an example where you applied this balance effectively in past roles and the positive outcomes that resulted.