Swiggy is looking to hire individual candidates for the post of Analyst. Interested candidates must check the job description before applying for the post.
Summary Role
This position will be a part of the Trust & Safety team, where the candidate will be working closely with cross-functional teams by bringing together the right elements w.r.t fraud identification & remediation.
About the Team
The Trust and Safety team is formed with the objective to reduce fraud and abuse across the systems of Swiggy. We scan processes across Restaurant, Delivery and Customer systems to identify current gaps and potential loopholes. We then work with Product, Customer Experience, Engineering and Business finance teams to develop and implement solutions, and governance mechanisms, while ensuring a seamless experience for the Restaurant, Delivery Partners and Consumers.
Key Responsibilities
- Online fraud detection such as collusion, multiple ids, bonus abuse etc. using data analytics.
- Use analytics techniques to detect, prevent and mitigate fraud. Fraud hypothesis and identifying new patterns of abuse
- Work on Insights and help in translating data into actionable business decisions.
- Solutioning with the Business & Product team by bringing in the right process/ system/ policy fixes in a manner that balances b/w cost & experience
- Defining key Financial and Operational metrics to enable real-time detection of fraud/ 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.
- Analyzing the behavior of new users and old users for identifying new patterns which may help in the early detection of risk.
- Explore new features, external engagements and features/variables for better Risk mitigation.
Desired Skill Sets
- Experience of 8 months to1.5 years in the field of Analytics preferably risk analytics for app-based product
- Strong analytical thought process and aptitude for creative problem solving
- Hands-on experience in SQL and Excel
- Good to have experience in data visualization tools like Power BI or Tableau and in Python Language
- Need a high level of energy and enthusiasm
