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 Matters

As 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.

What You'll Own

- Build, monitor, and optimize credit and fraud risk strategies across GoKwik's payments and commerce products.

- Analyze transactional, behavioral, and customer data to identify emerging fraud patterns and credit risks.

- Monitor model performance, detect model drift, and recommend recalibration strategies to improve predictive accuracy.

- Develop dashboards and automated reporting for portfolio health, fraud trends, and key risk metrics.

- Partner with Product, Engineering, and Data Science teams to deploy risk rules and decisioning strategies.

- Perform root cause analysis on risk events and recommend process improvements.

- Build analytical frameworks to improve underwriting decisions, customer segmentation, and fraud prevention.





- Design and evaluate experiments to measure the impact of recent risk policies and models.

- Leverage SQL, Python, and visualization tools to generate actionable insights for business stakeholders.

- Drive automation initiatives that improve operational efficiency and reduce manual effort.

Who You Are

- 1–3 years of experience in Risk Analytics, Credit Risk, Fraud Analytics, Data Science, or Data Analytics.

- Strong foundation in statistics, machine learning, and analytical problem-solving.

- Proficient in SQL and Python, with experience working on large datasets.

- Experience with Power BI, Tableau, or similar visualization tools.

- Understanding of predictive modeling, anomaly detection, fraud detection, or credit risk concepts.

- Comfortable working with model performance metrics, feature analysis, and data quality monitoring.

- Strong communication skills with the ability to translate analytical insights into business recommendations.

- Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related quantitative discipline from a premier institute.

Why GoKwik

You'll solve large-scale fraud and credit risk challenges at one of India's fastest-growing AI-powered commerce companies, working with high-volume transactional data and cutting-edge AI/ML applications. In this role, you'll build end-to-end risk solutions in collaboration with Product, Engineering, Data Science, and Payments teams, while owning high-impact projects with organization-wide visibility.

📌 Risk Analyst (Gurugram)
🏢 Gokwik Commerce Solutions
📍 Gurugram