About Swiggy
Swiggy is India's leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.
From starting out as a hyperlocal food delivery service in 2014, to becoming India's leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees.
Designation - Analyst - T&S
Summary of 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 right elements w.r.t fraud identification & remediation.
About the Team:
The Trust and Safety team is formed with an 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 seamless experience to 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 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 metric to enable real time detection of fraud/ abuse
- Own daily, weekly and monthly reporting of KPIs.
- Build strategies and suggest changes in processes which will eventually become industry benchmarks in the risk management space.
- Analyzing behavior of new users and old users for identifying new patterns which may help in early detection of risk.
- Explore new features, external engagements and features/variables for better Risk mitigation.
Desired Skill Sets:
- Experience of 1-2 years in the field of Analytics (preferably risk analytics)
- Strong analytical thought process and aptitude for creative problem solving
- (Mandatory) Working knowledge of database tools is must Hands on experience in one of SQL/HQL/Hive along with strong hold in MS Excel/Google sheets
- (Optional) Working knowledge of Python, Power BI or Tableau for data visualization and KPI measurement
- Need high level of energy and enthusiasm.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law.
