Description
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.