Big Data Specialist for Credit and Payments products

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

About the role

In Credit Risk ensures we lend within agreed risk appetite, this is achieved via management of Credit Risk strategies using reporting, scoring models, and policies both for managing risk at the point of application and account management.

About us

At PayU, we are a global fintech investor whose vision is to build a world without financial borders where everyone can prosper. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. We develop our own FinTech products and services in order to offer 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 recruiting the best engineering and product teams to investing in technology entrepreneurs, offering credit to underserved individuals, and helping our merchants buy, sell and operate online.

Excited yet? Continue reading to find out more about the role. What you’ll be doing and what we are looking for:

• Developing Credit Risk policy, including participation in the building of scorecards, developing & optimizing credit decision logic
• Developing Risk reporting (SQL, Snowflake)
• Identifying potential risk management opportunities through data mining of our data platforms.
• Providing advice and adding value to business projects requiring risk management input. You’ll be proactive and creative in dealing with issues identified within projects.
• Presenting a concise summary of results to relevant working groups

What you need to know

• Previous experience within retail Credit Risk and broad knowledge of retail lending products
• SQL (Snowflake experience is nice to have)
• Experience in the use of data processing tools such as R, Python or SAS
• You’ll be well-organized, able to prioritize workload, and work effectively and accurately under pressure.
• Very good English communication skills.
• Proven track record of working on your own initiative, with the ability to introduce fresh thinking to the role.

What we offer

• Truly International Environment with almost 40 different cultures
• Free subscription to an Internal eLearning platform with courses from Udemy, Coursera, and many others
• Flexible program and hybrid way of working
• An inclusive environment that ensures we listen to a diverse range of voices when making decisions
• Wellbeing programs driven by our Local and Global HR teams
• A positive, get-things-done workplace
• A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this)
• Ability to learn cutting edge concepts and innovation in an agile start-up environment on a global scale
• A democratic work environment where you can drive your outcomes