Associate Manager - Risk Management

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. 

Roles and Responsibilities:

• Merchant due diligence, KYC validations, and onboarding monitoring using data analytics to ensure compliance with company standards.\\
• Monitor online transactions of merchants using BI tools to detect patterns and identify potential fraud.
• Conduct investigations on suspicious activities, leveraging data to propose process or product-level improvements.
• Develop and deploy interactive dashboards (Looker, Power BI, Tableau, or Excel) to monitor risk metrics and fraud trends.
• Analyze large datasets to uncover insights, identify fraud trends, and provide actionable recommendations to stakeholders.
• Provide data-driven reports on merchant reviews, highlighting critical gaps and tracking remediation status.
• Identify repeatable processes and automate workflows to improve operational efficiency and scalability.
• Collaborate with internal teams (Product, Compliance, Operations) to correct deviations in merchant onboarding and ensure compliance.
• Communicate insights effectively through presentations, supporting business initiatives with both quantitative and qualitative analysis.
• Respond quickly to escalations using data insights to guide decisions, ensuring swift resolution of issues.

Desired Skills and Experience:

• Educational Qualifications:

• Bachelor’s or Master’s degree in Data Science, Engineering, Economics, Finance, Mathematics, Statistics, Business Administration, or a related quantitative discipline.

• Work Experience:

• 5+ years of experience in risk analytics, BI, fraud detection, or related fields, ideally in payments, banking, or fintech.

• Proven expertise in data analysis, dashboard development, and early fraud detection.

• Technical Skills:

• Advanced proficiency in SQL to manage large datasets and create complex queries.

• Expertise in BI tools (Looker, Power BI, Tableau, Excel) and proficiency in DAX expressions for dynamic dashboarding.

• Experience with Python or R for statistical analysis and model building is preferred.

• Strong capability to automate workflows for efficiency and accuracy in reporting.

• Industry Knowledge:

• In-depth understanding of KYC due diligence, payment industry regulations, and risk monitoring frameworks.

• Familiarity with fraud prevention strategies and compliance frameworks within the payments space.

• Soft Skills:

• Excellent communication skills to present complex data insights effectively to stakeholders.

• Strong multi-tasking capability in a fast-paced, high-demand environment.

• Ability to plan and execute projects independently and collaborate across teams seamlessly.

• Demonstrates a sense of urgency in resolving escalations and meeting deadlines.