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.

Risk Analytics & Model Development

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.

Regulatory Risk Support

Learn to interpret and apply NPCI and RBI fraud risk guidelines to support internal controls.
Participate in tracking fraud cases and assist with reporting and root cause analysis.

Cross-Team Collaboration

Collaborate with product, tech, and compliance teams to support fraud mitigation strategies.
Share data insights that help improve transaction safety and customer trust.

What We re Looking For

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.

Why Join Zype

Start Strong:

Build your career in a fast-growing fintech working on real-time payment risk.

Mentorship & Learning:

Get hands-on mentorship from experienced fraud analysts and data scientists.

Tech Exposure:

Work with real-world data, modern AI tools, and scalable systems.

Purpose-Driven Work:

Help build safer, more secure digital payment systems for millions of users.

Excited to dive into fraud analyticsCome grow with Zype!

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Analytics Scientist

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Job Type

Job Description

Fraud Detection & Prevention

Experience:

Technical Skills:

Analytical Thinking:

Learning Mindset:

Team Player:

Start Strong:

Mentorship & Learning:

Tech Exposure:

Purpose-Driven Work:

Excited to dive into fraud analyticsCome grow with Zype!

More Jobs at Zype Technologies