Job Description
About PayU
PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers.
As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day.
Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here
Title: DataScientist, Credit Risk
Company:PayU(India)
Location: Bangalore/ Gurgaon/ Mumbai
Who We Are:
PayU is the fintech division of Naspers, a global internet and entertainment group and one of the largest technology investors in the world. Operating in more than 120 countries, Naspers builds leading companies that empower people and enrich communities. By joining PayU, you will become part of the global network of data science, machine learning and AI specialists of PayU and the Naspers group. This context will offer you travel and international career opportunities.
Under the aegis of PayU Payments Services Ltd., PayU provides payment gateway solutions to online businesses through its cutting-edge and award-winning technology. PayU’s local operations span 20+ growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East and Africa. PayU India forays into two business verticals - payment offerings under PayU Payments Services Ltd. and alternate lending under PayU Finance.
In India, PayU offers 70+ local payment methods and serves more than 350,000 merchants including leading ecommerce businesses in India. The company also empowers SMBs, enabling them to accept mobile and online payments with minimum development effort. PayU India has processed more than 2 Billion transactions, which make us one of the best data companies. Payment behavior data for consumers and merchants provide a great platform for Data-as-a-service (DaaS) to help our merchant partners engage with their customers. It also enables us to help banks and other lending partners determine who can they lend to while managing risk.
The Team
Our data science team develops ML-based solutions to improve payment and credit products based on hundreds of millions of transactions in India. This role is with the PayU Innovations team, with specific focus on Digital Insights from alternate data like PayU Payments data for various use cases. PayU Payments data has emerged as a powerful source of information. Example use cases are:
1. Building an Underwriting model for NTC population for a bankingpartner
2. Building affluence scorecard for a foodmerchant
3. Building knowledge graph-based solutions to understand Risk and behavioral Profiles of customers
Joining our data science team offers you the chance to make a difference for millions of people and businesses in a rapidly growing market. Advances in AI are changing the conditions to build a successful financial business. They also underpin the growth of virtually every fintech business in the world. Therefore, PayU is building out its AI capabilities and will continue to do so in the coming years. You will be able to help shape the AI efforts at PayU in India and beyond.
The Opportunity:
Execute DataScienceprojectsforbuildingbest-in-classmodels/solutionsfor the Data Intelligence Practice @ PayU, specifically for Credit Risk management domain
Developing credit scorecards, testing & monitoring frameworks and overseeing the deployment of scorecards for clients
Engage and work with external clients from risk, products, portfolio, etc. during the process of identification of data, development of scorecard and deployment
Actively seek opportunities to innovate by using non-traditional data and new modeling techniques
Ensuring all project documentation is up to date and maintain the high levels of quality in deliverables
Work as independent contributor mostly and as a mentor to other team members by providing guidance when required
Requirements to be successful in this role:
AdegreeinStatistics,Engineering,Mathematics or other similar quantitative field
3+ year work experience as a Data scientist in banking/consumer lending industry
Hands on experience with ML/programming tools such as Python, R, and SQL
Proficiency in some of the following statistical techniques: Logistic Regression, XGBoost, Catboost, Clustering, etc
Experienced in distributed computing frameworks such as Spark
Experience in risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation, and automation)
Understanding of credit bureaus and non-traditional data providers will be a plus
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
Detailed oriented, is expected to ensure highest level of quality in reports & analysis
Experience in presenting ideas and analysis to stakeholders
Exhibit intellectual curiosity and strive to continually learn
Should be a great teammate who promotesknowledge-sharing
Inspired?
Are you ready to utilize your skills and expertise to build value and enrich communities across the globe? Engage with us to discuss further!
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 18 high-growth markets 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.com
Our Commitment To Building A Diverse And Inclusive Workforce
As 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.
PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers.
As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day.
Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here
Title: DataScientist, Credit Risk
Company:PayU(India)
Location: Bangalore/ Gurgaon/ Mumbai
Who We Are:
PayU is the fintech division of Naspers, a global internet and entertainment group and one of the largest technology investors in the world. Operating in more than 120 countries, Naspers builds leading companies that empower people and enrich communities. By joining PayU, you will become part of the global network of data science, machine learning and AI specialists of PayU and the Naspers group. This context will offer you travel and international career opportunities.
Under the aegis of PayU Payments Services Ltd., PayU provides payment gateway solutions to online businesses through its cutting-edge and award-winning technology. PayU’s local operations span 20+ growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East and Africa. PayU India forays into two business verticals - payment offerings under PayU Payments Services Ltd. and alternate lending under PayU Finance.
In India, PayU offers 70+ local payment methods and serves more than 350,000 merchants including leading ecommerce businesses in India. The company also empowers SMBs, enabling them to accept mobile and online payments with minimum development effort. PayU India has processed more than 2 Billion transactions, which make us one of the best data companies. Payment behavior data for consumers and merchants provide a great platform for Data-as-a-service (DaaS) to help our merchant partners engage with their customers. It also enables us to help banks and other lending partners determine who can they lend to while managing risk.
The Team
Our data science team develops ML-based solutions to improve payment and credit products based on hundreds of millions of transactions in India. This role is with the PayU Innovations team, with specific focus on Digital Insights from alternate data like PayU Payments data for various use cases. PayU Payments data has emerged as a powerful source of information. Example use cases are:
1. Building an Underwriting model for NTC population for a bankingpartner
2. Building affluence scorecard for a foodmerchant
3. Building knowledge graph-based solutions to understand Risk and behavioral Profiles of customers
Joining our data science team offers you the chance to make a difference for millions of people and businesses in a rapidly growing market. Advances in AI are changing the conditions to build a successful financial business. They also underpin the growth of virtually every fintech business in the world. Therefore, PayU is building out its AI capabilities and will continue to do so in the coming years. You will be able to help shape the AI efforts at PayU in India and beyond.
The Opportunity:
Execute DataScienceprojectsforbuildingbest-in-classmodels/solutionsfor the Data Intelligence Practice @ PayU, specifically for Credit Risk management domain
Developing credit scorecards, testing & monitoring frameworks and overseeing the deployment of scorecards for clients
Engage and work with external clients from risk, products, portfolio, etc. during the process of identification of data, development of scorecard and deployment
Actively seek opportunities to innovate by using non-traditional data and new modeling techniques
Ensuring all project documentation is up to date and maintain the high levels of quality in deliverables
Work as independent contributor mostly and as a mentor to other team members by providing guidance when required
Requirements to be successful in this role:
AdegreeinStatistics,Engineering,Mathematics or other similar quantitative field
3+ year work experience as a Data scientist in banking/consumer lending industry
Hands on experience with ML/programming tools such as Python, R, and SQL
Proficiency in some of the following statistical techniques: Logistic Regression, XGBoost, Catboost, Clustering, etc
Experienced in distributed computing frameworks such as Spark
Experience in risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation, and automation)
Understanding of credit bureaus and non-traditional data providers will be a plus
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies
Detailed oriented, is expected to ensure highest level of quality in reports & analysis
Experience in presenting ideas and analysis to stakeholders
Exhibit intellectual curiosity and strive to continually learn
Should be a great teammate who promotesknowledge-sharing
Inspired?
Are you ready to utilize your skills and expertise to build value and enrich communities across the globe? Engage with us to discuss further!
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 18 high-growth markets 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.com
Our Commitment To Building A Diverse And Inclusive Workforce
As 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.
💡 Quick Summary
Seeking a career-building opportunity? The Data Scientist | Credit Risk position is now open for candidates interested in the Bank Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
