Lead Data Scientist - Credit Risk Domain - PayU Payments
Bangalore/ Gurgaon / Mumbai
PayU
PayU enables local and cross-border payments and innovative financial services across 50+ emerging markets.
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
Role: Lead Data Scientist -Credit Risk DomainLocation: Gurgaon/Mumbai/Bangalore
About the team:Our 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 withspecific focus on Digital Insights from 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 banking partner2. Building affluence scorecard for customer segmentation for marketing campaigns3. Building ML models for risk, fraud, collections, Income estimation, etc.4. Using GraphML to detect fraud and anamolies
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 Innovations 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 in India.
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.
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
Role: Lead Data Scientist -Credit Risk DomainLocation: Gurgaon/Mumbai/Bangalore
About the team:Our 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 withspecific focus on Digital Insights from 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 banking partner2. Building affluence scorecard for customer segmentation for marketing campaigns3. Building ML models for risk, fraud, collections, Income estimation, etc.4. Using GraphML to detect fraud and anamolies
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 Innovations 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 in India.
Excited yet? Continue reading to find out more about the role:
- What you’ll be doing:
- Lead and execute Data Science projects for building best-in-class models/solutions for various use cases across the BFSI Industry
- Work with various external partners starting from POC discussions till execution and with internal partners (e.g. Business teams, technology and platform teams) to understand, design and 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 lending lifecycle use-cases
- Excellent stakeholder management skills – internal and external
- Detail oriented with strong organizational skills. Ability to function in a high-volume setting with tight deadlines
- Good 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 workplace
- A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this)
- An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
- Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale
- Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
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Tags: Agile AWS Banking Computer Science Credit risk FinTech Machine Learning Mathematics ML models PySpark Python SQL Statistics
Perks/benefits: Career development Startup environment
Region:
Asia/Pacific
Country:
India
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