Job Description

About Dunzo Dunzo is a hyperlocal delivery app that makes our city more accessible by getting the best of it at our doorstep. We can order groceries, fruits and vegetables, meat, medicines as well as courier packages within the city. Currently we are operational in- Bangalore, Pune, Gurgaon, Hyderabad, Delhi, Chennai and Mumbai. This is a well funded startup, with backing from marquee investors like: Google, Blume ventures, Reliance Retail, Aspada Ventures.
Some of the recent news articles could be found below:

• Reliance Retail has led a $240 million funding round in Google-backed hyperlocal delivery startup Dunzo as the largest Indian retail chain expands to the instant commerce space, a category that has made inroads in the South Asian market in recent quarters
• With over 2000 products and delivering in 19 minutes, Dunzo Daily is currently the fastest and most efficient way to get daily and weekly groceries delivered

About Fraud Prevention There are a large number of transactions happening in Dunzo on a daily basis. Not all of these transactions are genuine. People try to exploit features like discount offers, item refunds, order cancellations, partner incentives or cash in hand etc. for greater financial benefits. It is the job of the Fraud Prevention team to detect such incidents at the earliest and take preventive or corrective measures so that the same could be stopped or brought under control. This has a direct impact on business profitability and the resources (financial + human + product) may be better utilized on genuine cases. About the Role

• Take daily corrective actions against fraud partners/ users based on the pre-defined rules: user-partner pairing, B2B-partner collusion, fraud cash withdrawals etc.
• Coordinate with city teams for any concerns related to partner penalties
• Coordination with customer support for user related actions/ escalations
• Support in identification of new frauds by sharing inputs on possible loopholes or highlighting whenever such cases are encountered
• Work with analysts to create new rules to identify all the known patterns of fraud
• Identify cases of false positives and share feedback on how to improve the rules
• Make outbound calls daily to Merchants/Customers/partners

What is required? Non-Technical Skills

• Candidate should be a quick learner
• Good understanding of technology
• Logical thinking to quickly deduce who is benefiting and how?
• A sharp observer to help identify new patterns
• Proactive in finding new patterns and highlighting instances whenever necessary

Technical Skills

• Google Sheet & Excel skills is mandatory
• Good written and Oral communication