Role: Data Scientist (Fraud Analytics )

Bangalore, India /
Payments India - Data Science /
Full-time
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. 

  
 Role: Data Scientist (Fraud Analytics )
Company: PayU
Location: Bangalore/Mumbai/Gurgaon

About Company:

PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.
 
The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.
 
Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.
 
India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments. 
 
PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants. 
 
 
Job Description
 
We are looking for a data scientist in the PayU data science team who will be primarily responsible for modeling
complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic,
mining, and visualization techniques. Your primary focus will be to propose innovative ways to utilize online
payments data and analytics to solve business problems by applying data mining techniques, doing statistical
analysis, validating your findings using an experimental and iterative approach, and building high-quality prediction
systems integrated with our services. You will need strong business understanding, analytical and problem-solving
skills, and programming knowledge.
Responsibilities
 Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.
 Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple
real-time decision systems.
 Identify what data is available and relevant, including internal and external data sources, leveraging new
data collection processes such as geo-location or social media.
 Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.
 Extending company’s data with third party sources of information when needed
 Creating automated anomaly detection systems and constant tracking of its performance
 Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can
be implemented
 
Skills and Qualifications
 Bachelors in engineering, mathematics, statistics , economics or a related field.
 2+ years of work experience as a Data scientist preferably in a fintech environment
 1+ years of work experience on fraud modelling
 Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing,
and optimization algorithms.
 Proficient in machine learning (SVM, GLM, boosting, random forest) and deep neural networks
 Strong programming skills (Spark or other big data frameworks, R, Python), statistical modeling (R, Python,
SAS), query languages such as SQL
 Familiarity with basic principles of distributed computing and distributed databases.
 Strong problem solving skills to understand and execute complex analysis
 Familiarity with the best practices of Data Science
Add-on Skills :
 Experience in working with big data preferably in PySpark
 Passion for building new tools/algorithms
Behavioral Skills:
 
 Team Player
 Perseverance
 Knowledge sharing skills
 Energetic & Positive attitude
 Go getter instinct
So what do we offer?
 Opportunity to work on exceptional projects using cutting edge technology in big data environment
 A Competitive salary, including benefits
 Modern offices with individual working spaces
 Awesome teams that love finding ways of making things better, faster, stronger
 Interesting growth prospect
 
What are we looking for? 
Someone who takes ownership and believes in seeing through tasks to its completion despite facing any challenge.
Someone who can work both independently and in collaboration with the team as and when the situation demands for it.
Someone who is not averse to learning and growth and has an open mind about inputs/suggestions from any stakeholder.
Bonus point if you have: 
Experience in the Fintech domain and/ or B2C product experience 
An engineering degree in Computer Science (or) software development experience 
Worked on products with a massive user scale - 1 Mn+ DAUs especially 
 
What we offer
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)
 
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. 
 

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.