Fraud Analyst

About Us:

Sezzle is a leading Buy Now Pay Later (BNPL) organization that offers innovative financial solutions to empower consumers and merchants. We are committed to providing a seamless and secure shopping experience while fostering responsible spending. As we continue to expand our reach, we are seeking a talented and experienced Fraud Analyst to join our dynamic team.

Position Overview:

We are looking for a highly skilled and detail-oriented Fraud Analyst to help protect our organization and customers from fraudulent activities. The ideal candidate will have a deep understanding of credit card or BNPL products, coupled with extensive experience in SQL and Python coding languages. In this role, you will be responsible for identifying, analyzing, and mitigating fraudulent transactions and activities, ensuring the safety and security of our platform.

Key Responsibilities:

1. Fraud Detection and Analysis:

   • Write Python and SQL code to identify, categorize, and analyze new and existing fraud vulnerabilities across large and disparate data sets.

   • Monitor transactions and user activities to identify and investigate suspicious behavior.

   • Utilize advanced data analytics and fraud detection tools to proactively detect and assess potential fraud patterns.

   • Investigate and document instances of fraudulent activity, maintaining a comprehensive record of findings.

2. Data Analysis and Reporting:

   • Develop and execute SQL queries to extract, manipulate, and analyze large datasets.

   • Create and maintain reports and dashboards that provide insights into fraud trends and patterns.

   • Collaborate with cross-functional teams to communicate findings and recommend fraud prevention strategies.

3. Risk Assessment:

   • Assess the level of risk associated with specific transactions or accounts and recommend appropriate actions.

   • Continuously review and enhance fraud detection rules and strategies to stay ahead of emerging fraud threats.

4. Fraud Prevention and Mitigation:

   • Work closely with the fraud prevention team to develop and implement strategies to mitigate fraud risks.

   • Collaborate with the engineering team to enhance fraud detection algorithms and systems.

   • Stay up-to-date with industry best practices and emerging fraud trends to adapt and strengthen our defenses.

5. Documentation and Compliance:

   • Maintain accurate records of all fraud-related activities and investigations.

   • Ensure compliance with regulatory requirements related to fraud prevention and reporting.

Qualifications:

• Bachelor's degree in a related field (e.g., Finance, Computer Science, Data Science).

• Minimum of 5 years of experience in fraud analysis or related roles, with a strong focus on credit card or BNPL products.

• Proficiency in SQL and Python coding languages for data analysis and manipulation.

• Strong analytical and problem-solving skills, with the ability to work with large datasets.

• Familiarity with fraud detection tools, machine learning, and data visualization tools is a plus.

• Excellent communication skills to effectively collaborate with cross-functional teams.

• Detail-oriented with a strong commitment to accuracy and data integrity.

• Ability to adapt to a fast-paced and evolving environment.