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. 

We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital). 

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.

 Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.
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