dLocal
Fraud Prevention Analyst II
Job Summary
This role involves working on fraud prevention strategies within a global fintech company, focusing on analyzing fraud patterns and developing rules to reduce fraud while maintaining conversion rates. The candidate will collaborate with data science teams to improve transactional scoring models and manage KPIs for key clients and industries. Requirements include experience with data analysis, SQL, and relevant programming languages such as Python, along with strong analytical and problem-solving skills. The company offers flexible remote work options, professional development opportunities, and various employee benefits.
Required Skills
Benefits
Job Description
Why should you 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 flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ 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 ourFraud Prevention Analyst, you will join our dedicated Seller Team. In this crucial role, you'll be instrumental in shaping and executing our fraud prevention strategy for merchants who process transactions through our platform.
- Strategic Onboarding & Proactive Prevention: You'll play a key role in defining the criteria and processes for strategically onboarding new merchants, ensuring we welcome legitimate businesses while mitigating risk. You'll also be responsible for continuously monitoring the behavior of existing merchants, identifying suspicious patterns, and implementing robust measures to prevent fraud committed by sellers.
- Data-Driven Enhancements: You'll collaborate closely with our Data Science team to improve existing features and develop new ones, including machine learning model rules. This involves setting appropriate thresholds for our transactional scoring systems. You'll also analyze new databases to enhance the quality and relevance of our available data, ensuring we have the best information to make accurate decisions.
- Performance & Impact: You'll be directly responsible for the KPIs of our main merchant segments, ensuring our fraud prevention efforts are effective and contribute positively to business outcomes.
- 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 is a bonus.
- Strong analytical skills and compassion for discovering new patterns and making data-driven decisions.
- Attention to detail without losing sight of the big picture.
- Enthusiastic, proactive, team player, and problem-solver.
- Fluent in written and spoken English.
What do we offer?
Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:
- Remote work: work from anywhere or one of our offices around the globe!*
- Flexibility: we have flexible schedules and we are driven by performance.
- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
- Learning & development: get access to a Premium Coursera subscription.
- Language classes: we provide free English, Spanish, or Portuguese classes.
- Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
- dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
*For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required
What happens after you apply?
Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!
Also, you can check out ourwebpage,Linkedin,Instagram, andYoutube for more about dLocal!
dLocal
Focusing on building out the infrastructure for financial services in Africa, Asia, and Latin America, we're privileged to support the expansion of the most innovative global companies.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.