Job Role: Fraud Data Scientist

Years of Experience: 3 to 7 years

Shift Timing: 1PM IST to 10PM IST
Locations: Bengaluru, Hyd, Gurugram

Work Mode: Hybrid

Roles and Responsibilities:

- Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft
- Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity
- Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud).
- Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.
- Monitor industry trends, regulatory changes,



and best practices to continually enhance fraud prevention strategies.
- Skills Required:

- Bachelor's degree in engineering, technology, computer science or related field.
- 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field
- Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.
- Solid experience in SQL or Python
- Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
- Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.
- Ability to work collaboratively in a cross-functional team environment.

📌 Fraud Data Scientist (Hyderabad)
🏢 Straive
📍 Hyderabad