Analytics Scientist Job in Bengaluru at Zype

Zype is hiring for the role of Analytics Scientist!

Responsibilities of the Candidate:

• Assist in analyzing UPI and QR transaction data to detect suspicious patterns.
• Contribute to rule-based and ML-assisted models to identify abnormal payment behavior.
• Support device fingerprinting, location-based risk analysis, and velocity checks.
• Work with the engineering team to help integrate basic fraud detection rules into payment systems.
• Work alongside senior analysts to build and test supervised/unsupervised ML models.
• Explore trends and anomalies in transaction data such as high-frequency usage or mismatches in device/location.
• Help in monitoring model performance and fine-tuning risk thresholds.

Requirements:

• Experience: 1.5 years in fraud analytics, data science, or risk analysis in UPI or digital payments.
• Technical Skills: Good hands-on knowledge of Python and SQL. Familiarity with tools like Pandas, scikit-learn, or similar.
• Analytical Thinking: Eagerness to solve problems using data and uncover patterns.
• Learning Mindset: Willingness to learn new tools and techniques under the guidance of senior team members.
• Team Player: Strong communication and collaboration skills.