Sr Fraud Analyst

Ria Money Transfer

Santiago

Presencial

CLP 73.059.000 - 100.457.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Life Insurance
Medical & Dental
Emergency loans
Birthday off
Employee discounts
Stock purchase
Family remittance benefit
Salary reviews
Gym access

Descripción de la vacante

Ria Money Transfer in Chile seeks a Senior Fraud Analyst to strengthen fraud prevention across digital transactions and risk operations. You will analyze trends, design rules, and partner with business, technology, data science, and operations to build scalable detection solutions.

The role requires hands-on experience with SQL, Python, BI tools and knowledge of ML concepts applied to fraud. You will craft dashboards and act as a fraud subject matter expert.

Formación

  • Experience in e-commerce, fintech, payments, or digital identity.
  • Experience with chargebacks, account takeover, or mule activity.
  • Familiarity with APIs, data pipelines, and system integrations.
  • Experience supporting ML-based fraud models.
  • Experience creating fraud strategy docs and governance.
  • Knowledge of customer authentication and device intelligence.

Responsabilidades

  • Lead fraud analysis across payments, accounts, and identity to spot patterns.
  • Design, test, and optimize fraud rules and decisioning logic.
  • Translate fraud findings into clear business language for stakeholders.
  • Analyze data with SQL, Python, and BI tools; build reports.
  • Collaborate with Tech, Data Science, Product and Risk Ops on solutions.
  • Support model development and validation with business logic.
  • Monitor performance: false positives, approvals, charges.
  • Identify gaps and implement improved controls.
  • Assist in deploying new fraud tools and data sources.
  • Create dashboards and executive summaries on trends.
  • Be SME on fraud patterns and tools.

Conocimientos

Fraud prevention
SQL
Python
BI platforms
Rule engines
Machine learning concepts

Herramientas

Fraud tools
Rule engines
BI tools

Descripción del empleo

Description

Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience.

With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.

Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience.

With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.

We believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.

About This Role

We are looking for a Senior Fraud Analyst to help strengthen our fraud prevention capabilities across digital transactions, customer journeys, and internal risk operations. This role will be responsible for analyzing fraud trends, designing and optimizing fraud rules, working with fraud prevention tools, and partnering closely with business, technology, data science, and operations teams to build scalable fraud detection and prevention solutions.

The ideal candidate has strong experience in fraud prevention, hands-on knowledge of fraud tools and rule engines, strong analytical skills using SQL, Python, and BI platforms, and a solid understanding of machine learning concepts as they apply to fraud detection.

Roles & Responsibilities
  • Lead fraud analysis across payment, account, identity, transaction, and operational risk scenarios to identify emerging patterns, vulnerabilities, and opportunities for improvement.
  • Design, test, monitor, and optimize fraud rules, strategies, and decisioning logic across fraud prevention tools and internal systems.
  • Translate complex fraud rules, risk logic, and analytical findings into clear business language for stakeholders across operations, product, technology, and leadership.
  • Use SQL, Python, and BI tools to analyze large datasets, build reporting, detect anomalies, measure rule performance, and support fraud strategy decisions.
  • Partner withTechnology, Data Science, Product, and Risk Operations teams to develop new internal fraud prevention solutions, improve fraud platforms, and support automation initiatives.
  • Collaborate with Data Science teams to support the development, validation, and implementation of fraud detection models, including providing business logic, fraud labels, feature ideas, and model performance feedback.
  • Monitor fraud tool performance, rule effectiveness, false positives, approval rates, manual review volumes, chargebacks, losses, and customer friction.
  • Identify gaps in current fraud controls and recommend improvements to rules, processes, tools, data flows, and decisioning frameworks.
  • Support the implementation of new fraud tools, data sources, verification methods, and risk controls.
  • Build dashboards, reports, and executive-level summaries that communicate fraud trends, business impact, and recommended actions.
  • Act as a subject matter expert on fraud patterns, fraud tools, rule logic, and prevention strategies.
Position Requirements
  • Experience in e-commerce, fintech, payments, banking, marketplaces, digital identity, or online platforms.
  • Experience with chargeback analysis, payment fraud, account takeover, synthetic identity, promo abuse, refund abuse, or mule activity.
  • Familiarity with APIs, event-based data flows, data pipelines, or system integrations.
  • Experience supporting or validating machine learning fraud models.
  • Experience building fraud strategy documentation, rule governance, performance monitoring, or risk control frameworks.
  • Knowledge of customer authentication, step-up verification, device intelligence, behavioral signals, identity verification, or third-party fraud tools.
Perks & Benefits
  • Free Life Insurance
  • Supplemental Medical & Dental Insurance
  • Internal emergency loans
  • Birthday day off
  • Various discounts via Caja Los Andes
  • Euronet stock purchase (quarterly option)
  • Remittance service with no commission for immediate family
  • Annual salary reviews
  • Agreement with Smart Fit (Gym)

Ria Money Transfer is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Check out our website to learn more about the company at: http://www.riamoneytransfer.com/

The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company’s right to assign or reassign duties and responsibilities to this job as needed.

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