Fraud & Disputes Intern
Quick Summary
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Fraud & Disputes Intern based in Brazil.
This paid internship offers an opportunity to gain hands-on experience in fraud prevention, transaction disputes, risk analysis, and fintech operations. You’ll investigate disputed credit card, debit card, and ACH transactions and help determine the appropriate resolution for each case. Working alongside fraud, disputes, operations, data, and engineering teams, you’ll use internal tools, policies, and data to identify patterns and make informed decisions. The role combines analytical thinking, attention to detail, customer impact, and operational execution in a fast-paced environment. You’ll also contribute ideas for improving processes, tools, and loss-prevention mechanisms as you develop your expertise in fraud and payments. It’s a strong opportunity for someone eager to learn, take ownership, and build a career in fintech, risk, fraud, or operations.
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Investigate disputed credit card, debit card, and ACH transactions and determine appropriate actions within established resolution timeframes.
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Review individual cases using internal policies, procedures, and investigation methodologies to identify fraud patterns, transaction anomalies, and relevant trends.
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Analyze account and transaction data to understand behavioral patterns and support accurate case decisions.
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Collaborate with fraud, disputes, operations, and other relevant teams to determine appropriate next steps on complex or escalated cases.
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Maintain or exceed established service-level agreements (SLAs) for resolving assigned cases and minimizing potential financial losses.
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Handle escalations from internal and external stakeholders professionally, efficiently, and with sound judgment.
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Develop and maintain strong knowledge of fraud risks, prevention techniques, payment disputes, and relevant technologies.
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Work with analysts, operations specialists, data scientists, and engineering teams to identify opportunities to improve fraud prevention processes, tools, and loss-reduction mechanisms.
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Provide recommendations and insights to management based on case trends, transaction analysis, and operational observations.
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Learn and effectively use internal systems, investigation tools, data sources, and AI technologies to improve productivity and decision-making.
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Leverage Claude or equivalent large language model tools to support research, communication, analysis, and day-to-day productivity.
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Balance accuracy, speed, customer impact, and risk when making decisions in a fast-moving operational environment.
Requirements
~2 min read-
Currently pursuing a Bachelor’s degree and able to commit to a full-time internship schedule.
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Strong analytical and problem-solving skills, with the ability to evaluate information and make sound decisions.
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Comfortable analyzing data and making impactful decisions in situations that may involve ambiguity or incomplete information.
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Excellent attention to detail and the ability to manage multiple cases, priorities, and deadlines simultaneously.
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Strong written and verbal communication skills in English.
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Good business judgment and the ability to communicate decisions and recommendations clearly.
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Ability to work independently and take initiative after completing initial training.
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Demonstrated experience working with Claude or an equivalent large language model tool, with the ability to use AI effectively for research, productivity, and communication.
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Ability to learn new systems, tools, processes, and fraud-related concepts quickly.
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Strong sense of ownership and consistently high standards for accuracy and quality.
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Comfortable challenging existing approaches respectfully and contributing ideas for better ways of working.
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Adaptable and action-oriented, with the ability to make timely decisions and take calculated risks when appropriate.
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Strong interpersonal skills and the ability to build trust with cross-functional colleagues.
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Resilient and results-oriented, with a commitment to delivering high-quality work within established timelines.
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Previous internship or professional experience is beneficial, particularly in analytics, operations, finance, customer support, risk, fraud, or technology-related environments.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- First seen
- October 5, 2026
- Last seen
- October 5, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 5, 2026
Signal breakdown
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