About GoKwik

GoKwik is the growth operating system powering D2C and eCommerce brands—from checkout optimization and RTO reduction to payments, retention, and post-purchase engagement. Today, GoKwik enables 15,000+ merchants globally, processes over $2B in GMV annually, and is building AI-first products that help brands scale profitably.

Why This Role Matter

sAs a Risk Analyst, you'll work at the intersection of Data Science, Risk, and Product to build and optimize fraud and credit risk strategies. You'll analyze large-scale transactional data, monitor model performance, identify emerging risks, and collaborate with cross-functional teams to improve approval quality while minimizing fraud and credit losses

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What You'll O
- wnBuild, monitor, and optimize credit and fraud risk strategies across GoKwik's payments and commerce product
- s.Analyze transactional, behavioral, and customer data to identify emerging fraud patterns and credit risk
- s.Monitor model performance, detect model drift, and recommend recalibration strategies to improve predictive accurac




- y.Develop dashboards and automated reporting for portfolio health, fraud trends, and key risk metric
- s.Partner with Product, Engineering, and Data Science teams to deploy risk rules and decisioning strategie
- s.Perform root cause analysis on risk events and recommend process improvement
- s.Build analytical frameworks to improve underwriting decisions, customer segmentation, and fraud preventio
- n.Design and evaluate experiments to measure the impact of current risk policies and model
- s.Leverage SQL, Python, and visualization tools to generate actionable insights for business stakeholder
- s.Drive automation initiatives that improve operational efficiency and reduce manual effor

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Who You
- Are1–3 years of experience in Risk Analytics, Credit Risk, Fraud Analytics, Data Science, or Data Analyti
- cs.Strong foundation in statistics, machine learning, and analytical problem-solvi
- ng.Proficient in SQL an

📌 Risk Analyst (Gurugram)
🏢 GoKwik
📍 Gurugram