Mandate 1– Employees will come to the office thrice a week at their base location and work remotely for the remaining days.
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 fueled 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.
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 including Bus, Data Science, Product, Eng & Finance by bringing together right elements w.r.t fraud identification & remediation.
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 3+ years in the field of Analytics preferably risk analytics for app based product
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 must
Hands on experience in SQL/HQL/Hive
Experience in one or more: Python, Spark, R, Scala
Working knowledge of Power BI or Tableau for data visualization and KPI measurement
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.