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 and Python, with experience work

📌 Risk Analyst (Gurugram)
🏢 GoKwik
📍 Gurugram