Data Scientist - Credit Risk

PAYU PAYMENTS PRIVATE LIMITED Role: Data Scientist - Credit Risk Location: Gurgaon/Mumbai/BangaloreAbout The TeamOur data science team develops ML based data products or solutions to improve lending,Fraud, collections, Insurance and Investment products based on hundreds of millions oftransactions in India. This role is with the PayU Innovations Data Science team with specificfocus on Digital Insights from PayU Payments data for various use cases. PayU Paymentsdata has emerged as a powerful source of information. Example use cases are: Building an Underwriting model for NTC population for a banking partner Building affluence scorecard for customer segmentation for marketing campaigns Building ML models for risk, fraud, collections, Income estimation, etc. Using GraphML to detect fraud and anamoliesJoining our data science team offers you the chance to make a difference for millions of people andbusinesses in a rapidly growing market. Advances in AI are changing the conditions to build a successfulfinancial business. They also underpin the growth of virtually every fintech business in the world.Therefore, PayU Innovations is building out its AI capabilities and will continue to do so in the comingyears. You will be able to help shape the AI efforts in India.Excited yet? Continue reading to find out more about the role:What You’ll Be DoingLead and execute Data Science projects for building best-in-class models/solutions for various use cases across the BFSI IndustryWork with various external partners starting from POC discussions till execution and with internal partners (e.g. Business teams, technology and platform teams) to understand, designand implement the best solutions.Opportunity to work on exceptional projects using cutting edge technology What are we looking for?A degree in Statistics, Computer Science, Mathematics or other similar quantitative field from a premier institute.Should have led Data Science projects and have at least 5 years of work experience as a Data scientist, preferably worked on credit risk scorecards, collections, fraud or other lendinglifecycle use-casesExcellent stakeholder management skills – internal and external Detail oriented with strong organizational skills. Ability to function in a high-volume setting with tight deadlinesGood experience in building machine learning models and should have experience in the following languages – Python, SQL. Familiar with cloud computing platforms like AWS, etc.Having experience in Pyspark and AutoML is a plus The incumbent must be a high-energy individual with a go-getter instinct and positive attitude. Should be a great teammate who promotes knowledge-sharing What we offer (Standard)A positive, get-things-done workplaceA dynamic, constantly evolving space (change is par for the course – important youare comfortable with this)An inclusive environment that ensures we listen to a diverse range of voices whenmaking decisions.Ability to learn cutting edge concepts and innovation in an agile start-upenvironment with a global scaleAccess to 5000+ training courses accessible anytime/anywhere to support yourgrowth and development (Corporate with top learning partners like Harvard,Coursera, Udacity) About us: (Standard)At PayU, we are a global fintech investor and our vision is to build a world without financial borders whereeveryone can prosper. We give people in high growth markets the financial services and products theyneed to thrive. Our expertise in 18+ high-growth markets enables us to extend the reach of financialservices. This drives everything we do, from investing in technology entrepreneurs to offering credit tounderserved individuals, to helping merchants buy, sell, and operate online. Being part of Prosus, one ofthe largest technology investors in the world, gives us the presence and expertise to make a real impact.Find out more at 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 thatour responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive tocreate a diverse, inclusive, and safe environment, for all our people, communities, and customers. Ourleaders are committed to create an inclusive work culture which enables transparency, flexibility, andunbiased attention to 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 areempowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specificrace, ethnicity, or of persons with disabilities, or the LGBTQ communities.