About Zype:
Zype is a credit-first financial well-being & lifestyle app. We help our customers make their aspirational lifestyle affordable while helping them make responsible financial decisions & positively contribute to their financial well-being.
With a fully digital & seamless user experience, we are helping the next generation of credit users get instant loan & always have access to money when they need it. This combined with Zype’s intuitive money management tools can help them manage their spending, get bill reminders & make timely payments, all on one single app.
At Zype, we challenge ourselves daily to deliver an exceptional experience to our users. We are passionate about what we do & leverage the latest technology to add outstanding value to the lives of our customers.
Zype is looking for an Analytics Scientist to support fraud detection and risk analytics initiatives across UPI and digital payments. If you’re early in your data science journey (1–2 years of experience), have worked on UPI or payment-related fraud problems, and are passionate about solving real-world problems using data—this is a great opportunity to grow in a high-impact fintech environment.
What You’ll Do
Fraud Detection & Prevention
• 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 analytics? Come grow with Zype!
