Manager- T&S

Swiggy is India's leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands.

This position will be a part of the Trust & Safety team, where you will work closely with cross-functional teams including Business, Data Science, Product, Eng & Finance to bring together the right elements regarding fraud identification and remediation.

Key responsibilities:

• Detect online fraud such as collusion, multiple IDs, and bonus abuse using data analytics.
• Use analytics techniques to detect, prevent, and mitigate fraud.
• Develop fraud hypotheses and identify new patterns of abuse.
• Work on insights and help translate data into actionable business decisions.
• Collaborate with the Business and Product teams to implement process, system, and policy fixes that balance cost and experience.
• Define key financial and operational metrics to enable real-time detection of fraud and abuse.
• Own daily, weekly, and monthly reporting of KPIs.
• Build strategies and suggest changes in processes that will eventually become industry benchmarks in the risk management space.
• Analyze the behavior of new and old users to identify new patterns that may help in early detection of risk.
• Explore new features, external engagements, and features/variables for better risk mitigation.

Qualifications:

• Experience of 3+ years in the field of Analytics, preferably risk analytics for app-based products.
• Engineering graduates from IIT/NIT or any good college.
• Strong analytical thought process and aptitude for creative problem-solving.
• Working knowledge of database tools is a must.
• Hands-on experience in SQL/HQL/Hive.
• Experience in one or more of the following is a plus: Python, Spark, R, Scala.
• Working knowledge of Power BI or Tableau for data visualization and KPI measurement.