Am/manager- Risk Job in Payu

Am/manager- Risk

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Job Summary

About us:

At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 50+ high-growth market enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.comOur Commitment To Building A Diverse And Inclusive WorkforceAs a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.

What are we looking for:-

Educational background : B. Tech/ Masters in Stats/ Economics/ Math

Past Experience : Fraud & Risk Analytics

Languages : Python, VBA

Key Skills :

Advanced MS Excel skills (VBA)

Hands on experience in Python coding

Excellent analytical and research capabilities

Experience in fraud analytics for a payment gateway / issuing bank (Preferred)

Job Description / Responsibility :

Monitor & analyze risk rules & identify saving opportunities using analytics tools

Create multi-dimensional data views, data analysis, reports and extracts

Comfort and proficiency in handling large data analysis (Data scrubbing/ profiling/ slicing & dicing)

Ability to handle and structure analysis independently

Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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