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The role involves monitoring and ensuring compliance through KYC validations, conducting fraud investigations utilizing data analytics, developing interactive dashboards for risk metrics, and collaborating with internal teams to resolve merchant onboarding issues.

The Lead Frontend Engineer is responsible for creating solid frontend foundations, implementing engineering initiatives, collaborating with teams, and driving robust dashboards. The role requires strong expertise in JavaScript, React.js, and CI/CD tools while mentoring others and ensuring best practices in development.

The Analytics Specialist will focus on working with large data sets to solve business problems and derive insights using techniques such as data mining, statistical analysis, and machine learning. Responsibilities include collaborating with product and business teams, defining metrics, conducting root cause analyses, and developing automated dashboards to enhance data accuracy.

The Customer Success Executive will manage key accounts, enhancing customer satisfaction and loyalty through strategic relationship-building, objection handling, and account growth. The role requires autonomy, an entrepreneurial mindset, and close collaboration with internal teams for seamless execution and customer advocacy.

The Manager, Product Development Engineering leads the engineering team, focusing on hiring, technical strategy, collaboration with partners, and mentoring. They drive process implementation, influence engineering culture, and ensure alignment with company objectives.

The Senior Manager, Product Development Engineering will lead engineering strategy, enhance talent acquisition, cultivate a culture of excellence, and mentor teams in technical and performance growth. This role involves collaborating with partners for product delivery and implementing effective engineering processes while embedding the company's cultural values across the engineering team.

The Senior Data Analyst at Razorpay will analyze and manipulate data to develop meaningful reports and dashboards, transforming raw data into insights. Responsibilities include owning the BI lifecycle, process automation, and training junior team members on BI tools.