Fraud Data Analyst
Stripe
PythonSplunkSQLTableau
Salary
💰 $70,000 - $85,000 per year
Job Level
Junior
Tech Stack
JavaScriptPythonSQLTableau
About the role
- Location: Remote
- As a Fraud Analyst at HFD, you will play a crucial role in identifying, investigating, and mitigating fraudulent activities within our consumer lending operations.
- Reporting to the Portfolio Administration Manager, you will collaborate with cross-functional teams to protect both the company and our customers from financial fraud.
- Monitor and analyze transaction data to identify potentially fraudulent activities.
- Investigate suspicious transactions and patterns, document findings and recommend actions.
- Collaborate with internal teams to enhance fraud detection and prevention strategies.
- Assist in the development and implementation of fraud detection tools and techniques.
- Stay informed about industry trends and regulatory changes related to fraud prevention.
- Prepare regular reports on fraud metrics and trends for management review.
Requirements
- Bachelor’s degree or equivalent experience in finance, risk management, data analytics, or a related field.
- 1–2 years of experience in fraud prevention, risk management, or a related analytical role.
- Basic understanding of card processing, ACH/NACHA rules, or online payment transactions.
- Strong analytical and problem-solving skills.
- Ability to work independently and manage multiple priorities.
- Good written and verbal communication skills.
- Comfort working with data tools or willingness to learn (Excel, SQL, or similar).
- Preferred: Experience in consumer lending, fintech, or banking operations.
- Preferred: Familiarity with fraud detection tools or analytics platforms (e.g., Tableau, Power BI, Python).
- Preferred: Understanding of regulatory requirements relevant to fraud prevention (e.g., OFAC, Red Flag Rules).
- Preferred: Experience investigating or reporting on fraudulent activity.
- Preferred: Ability to translate complex data into actionable recommendations.
- Preferred: Vouch KYC experience
- Preferred: Lexis Nexis KYB experience
