Sr Fraud Analyst
Ria Money Transfer
13 hours ago
Full-time
On-site
Santiago, Santiago Metropolitan Region, Chile
Analyst
Description
ABOUT THIS ROLE
As a Fraud Analyst - Wallet in the Fraud Department, you will help protect Ria’s growing Wallet program from fraud, account takeover, unauthorized funding, and other forms of financial abuse.
You will monitor Wallet activity, investigate suspicious transactions and emerging patterns, evaluate the effectiveness of fraud controls, and translate your findings into actionable recommendations. You will work closely with Fraud Operations, Product, Engineering, Compliance, Data Science, and external partners to ensure the Wallet grows safely while maintaining a positive customer experience.
Roles & Responsibilities
ABOUT THIS ROLE
As a Fraud Analyst - Wallet in the Fraud Department, you will help protect Ria’s growing Wallet program from fraud, account takeover, unauthorized funding, and other forms of financial abuse.
You will monitor Wallet activity, investigate suspicious transactions and emerging patterns, evaluate the effectiveness of fraud controls, and translate your findings into actionable recommendations. You will work closely with Fraud Operations, Product, Engineering, Compliance, Data Science, and external partners to ensure the Wallet grows safely while maintaining a positive customer experience.
Roles & Responsibilities
- Monitor Wallet activity and investigate suspicious top-ups, transfers, account behavior, and other potentially fraudulent activity.
- Analyze fraud trends, chargebacks, losses, approval rates, false positives, and customer friction to identify emerging risks and improvement opportunities.
- Review transactions and accounts escalated by fraud rules, models, vendors, or operational teams.
- Develop, test, and optimize fraud rules, thresholds, alerts, and monitoring strategies for Wallet activity.
- Provide structured feedback on transactions where fraud systems, analysts, or automated models produced conflicting decisions.
- Support the design and evaluation of controls such as OTP, card verification, identity verification, transaction limits, device controls, and step-up authentication.
- Partner with Product and Engineering to translate identified risks into clear requirements and practical product or technical solutions.
- Work with Fraud Operations and Chargebacks teams to connect dispute outcomes and confirmed fraud cases with preventive controls.
- Build dashboards, reports, and recurring performance reviews for Wallet fraud, losses, operational volumes, and control effectiveness.
- Conduct root-cause analyses and document fraud patterns, vulnerabilities, investigations, and recommended actions.
- Support the testing and launch of new Wallet features, markets, payment methods, and customer journeys.
- Maintain clear documentation of rules, analytical methodologies, decisions, and operational procedures.
- Communicate findings and recommendations clearly to technical and non-technical stakeholders.
- Experience in fraud analysis, risk analytics, payments, financial crime, chargebacks, trust and safety, or a related field.
- Strong analytical and investigative skills, with the ability to identify patterns across transactions, accounts, devices, and customer behavior.
- Proficiency in SQL and experience working with large transactional datasets.
- Understanding of card payments, digital wallets, account takeover, chargebacks, identity verification, or payment-fraud controls.
- Ability to convert analytical findings into clear recommendations, rules, monitoring strategies, or product requirements.
- Strong attention to detail and sound judgment when assessing complex or ambiguous cases.
- Ability to balance fraud prevention, financial impact, customer experience, and operational efficiency.
- Strong written and verbal communication skills, including the ability to explain findings to technical and business stakeholders.
- Proactive ownership mindset and the ability to work effectively across Product, Engineering, Compliance, Data Science, and Operations.
- Ability to manage multiple investigations and priorities in a fast-moving environment.
- Professional proficiency in English.
- Experience with Python, R, BI tools, fraud platforms, payment processors, or machine-learning outputs is preferred.
- Bachelor’s degree in Analytics, Engineering, Computer Science, Economics, Finance, Statistics, or a related discipline—or equivalent professional experience.
- Annual Salary Review
- Year-End Bonus
- 15% Off EEFT Stock
- Birthday Day Off
- 5 Extra Days Off
- Health Insurance
- Free Money Transfers with Ria
- SmartFit Gym Partnership