Job Opening details:-
Company Name :- Dunzo
Position Name :-
Company Location :- Bengaluru, Karnataka
Job Category : General jobs
Full Job Description :-
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?
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
Google Sheet & Excel skills is mandatory
Good written and Oral communication