Risk & Disputes Intern

Jobgether SRL; Brasil; On-site; BRL 42,000 - 51,000; Full time

Benefits offered by this job

Paid internship

Fully remote from Brazil

Cross-functional exposure

Job summary

Lever, Inc. is seeking a Risk & Disputes Intern based in Brazil for a paid, fully remote internship. You will investigate disputed transactions across credit cards, debit cards, and ACH, supporting resolution decisions and loss-prevention efforts.

You will collaborate with fraud, disputes, operations, data science, and engineering teams to analyze data, identify patterns, and improve processes. Strong analytical skills and English communication are essential for success in a fast-paced,

Qualifications

• Currently pursuing a Bachelor’s degree and available to work full-time during the internship.
• Strong analytical and problem-solving skills.
• Comfortable working with data and making meaningful decisions in a fast-paced environment.
• Excellent attention to detail and ability to manage multiple cases and deadlines.

Responsibilities

• Investigate disputed transactions (credit card, debit card, and ACH) and determine appropriate actions to resolve cases within deadlines.
• Review transactions using internal policies to identify patterns, trends, and risk factors.
• Analyze account and transaction data to understand behavioral patterns for informed case decisions.
• Collaborate with fraud, disputes, and other teams to determine suitable resolutions.
• Identify opportunities to improve loss-prevention processes, tools, and workflows.

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Risk & Disputes Intern based in Brazil.

This paid internship offers an opportunity to build practical experience in risk management, payment disputes, fraud prevention, and fintech operations. You’ll investigate credit card, debit card, and ACH disputes and help determine appropriate resolutions for individual cases. Working alongside fraud, disputes, operations, data, and engineering teams, you’ll analyze transaction and account information to identify patterns and support informed decisions. The role combines analytical problem-solving, attention to detail, business judgment, and customer impact in a fast-paced environment. You’ll contribute to improving processes, tools, and loss-prevention mechanisms while developing valuable knowledge of payment risk and fraud prevention. This is an excellent opportunity for a proactive student who enjoys solving complex problems, learning quickly, and taking ownership.

Accountabilities

• Investigate disputed credit card, debit card, and ACH transactions and determine appropriate actions to resolve cases within established deadlines.

• Review individual transactions using internal policies, procedures, and investigation methodologies to identify patterns, trends, and potential risk factors.

• Analyze account and transaction data to understand behavioral patterns and support accurate case decisions.

• Collaborate with fraud, disputes, and other relevant teams to determine the appropriate resolution for individual cases.

• Work with analysts, operations specialists, data scientists, and engineering teams to identify opportunities to improve loss-prevention processes, tools, and mechanisms.

• Maintain strong knowledge of fraud risks, prevention techniques, payment disputes, and relevant technologies.

• Meet or exceed established service-level agreements (SLAs) for timely resolution of assigned cases while helping minimize potential losses.

• Handle escalations from internal and external stakeholders in a professional, efficient, and solutions-oriented manner.

• Identify recurring issues and provide recommendations to management on opportunities to improve or scale operational processes.

• Develop a strong understanding of internal systems, tools, data sources, and workflows used to investigate risk and dispute cases.

• Use data and evidence to make timely decisions in situations that may involve ambiguity or competing priorities.

• Leverage Claude or equivalent large language model tools to enhance research, productivity, analysis, and professional communication.

Requirements

• Currently pursuing a Bachelor’s degree and available to work full-time during the internship.
• Strong analytical and problem-solving skills, with the ability to evaluate information and make sound decisions.
• Comfortable working with data and making meaningful decisions in a fast-paced environment where situations may sometimes be ambiguous.
• Excellent attention to detail and the ability to manage multiple cases, priorities, and deadlines simultaneously.
• Strong written and verbal English communication skills.
• Good business judgment and the ability to communicate findings, decisions, and recommendations clearly.
• Ability to take initiative, learn quickly, and work independently with limited supervision after training.
• Demonstrated experience using Claude or an equivalent large language model tool, with the ability to leverage AI effectively for research, productivity, and communication.
• Strong sense of ownership and consistently high standards for accuracy and quality.
• Willingness to challenge existing approaches constructively and contribute ideas for improving processes.
• Action-oriented mindset with the ability to make timely decisions and take calculated risks when appropriate.
• Strong interpersonal skills and the ability to build trust through attentive listening, clear communication, and respectful collaboration.
• Resilient and results-oriented, with the ability to maintain quality and productivity when faced with setbacks or changing priorities.
• Previous internship or work experience is a plus, particularly in analytics, operations, finance, risk, fraud, customer support, technology, or related fields.

Benefits

• Compensation: $800 USD per month.
• Employment type: Paid, full-time independent contractor internship.
• Work arrangement: Fully remote from Brazil.
• Schedule: Monday through Friday, 9:00 AM–5:30 PM Central Time.
• Opportunity to gain hands‑on experience in risk management, payment disputes, fraud prevention, and fintech operations.
• Exposure to credit card, debit card, and ACH transaction analysis.
• Cross‑functional collaboration with fraud, disputes, operations, data science, and engineering professionals.
• Practical experience using data and AI‑assisted tools to support investigations and operational decisions.
• Opportunity to develop expertise in fraud prevention, payment risk, loss prevention, and dispute resolution.
• Fast‑paced environment offering opportunities to learn, take ownership, and develop professionally.