Role: Data Scientist – Fraud Analytics
Location: San Jose, CA
Salary: $110,000 – $160,000 per year
Experience Needed: 3–8 years in fraud analytics (must have recent banking experience)
Type: Full-Time Employee
About the Role:
We are looking for a Data Scientist with experience in fraud analytics, especially in the banking sector. You’ll help detect, analyze, and prevent fraud by using data and working closely with other teams. The position is full-time and based in San Jose, CA.
What You’ll Do:
- Analyze fraud data and create rules to detect fraud (merchant, first-party, and third-party).
- Investigate suspicious transactions and find ways to prevent future fraud.
- Build fraud detection reports and rules in the company’s workflow system.
- Share regular reports on fraud trends and risks with leadership.
- Work with teams like Risk, Operations, and Compliance to improve fraud prevention.
- Stay updated on industry trends and fraud prevention methods.
What You Need:
- A Bachelor’s degree in Engineering, Computer Science, or a similar field.
- 3+ years of hands-on experience in data analytics, especially focused on fraud in banking.
- Experience using fraud detection tools and understanding of risk and compliance.
- Strong communication skills to explain technical ideas clearly.
- A detail-oriented and problem-solving mindset.
- Ability to work well with others across different departments.
Job Type: Full-time
Pay: Up to $168,371.79 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible schedule
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Experience:
- fraud analytics/fraud detection tools: 1 year (Required)
Ability to Commute:
- San Jose, CA (Required)
Work Location: On the road
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