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 600+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 3 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.
Job DescriptionSummary 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 Business, 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.
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 is a plus : 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
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.
Skills Required
- 3+ years of experience in analytics, preferably risk analytics for app-based products
- Engineering degree from IIT, NIT, or a comparable college
- Strong analytical thinking and creative problem-solving aptitude
- Working knowledge of database tools
- Hands-on experience with SQL, HQL, or Hive
- Working knowledge of Power BI or Tableau for data visualization and KPI measurement
- Experience with Python, Spark, R, or Scala
Swiggy Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Swiggy and has not been reviewed or approved by Swiggy.
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Equity Value & Accessibility — Equity grants and recurring liquidity events are ongoing, and feedback suggests office employees value this as part of total compensation. These programs provide a meaningful wealth‑creation lever by India tech standards.
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Parental & Family Support — Gender‑neutral parental policies were expanded with extended leave, flexible/part‑time options, bonding leave, fertility/adoption support, and structured re‑entry. Feedback suggests these updates are viewed as progressive and supportive for caregiving.
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Healthcare Strength — Company‑paid accident insurance for delivery partners includes hospitalization and OPD cover with extensions to family members. This safety net is notable within the gig‑economy context.
Swiggy Insights
What We Do
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 a logistics hub of excellence today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. With Swiggy’s New Supply and the recent launches of Swiggy Instamart, Swiggy Genie, and Guiltfree, we are consistently making waves in the market, while continually growing the opportunities we offer our people. *We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.
