Mastercard
FinTech
LeadDataScientist
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Scientist at Mastercard. Skills: Data Science, Algorithm Development, Financial Crime. Perform proof-of-concept projects. Engage in product design”
Industry & Context.
Solve real problems
What They're Looking For.
Must Have
Write Python to a high standard, Familiar with pandas, Familiar with scikit-learn, Familiar with networkx, Communicate with non-tech colleagues
Nice to Have
Practical experience using streaming technologies, Experience using next generation machine learning techniques, Experience using next generation machine learning tools, Experience with Deep Neural Networks, Experience with TensorFlow, Exposure to Network Theory, Ability to build custom data visualisations, Ability to prototype browser based UX/UI, Ability to build server side microservices
What You'll Do.
Perform proof-of-concept projects
Engage in product design
Develop new algorithms
Develop novel algorithms
Perform novel research
Understand criminal behaviours
Turn insights into products
Turn insights into services
Learn new technologies
Engage with legacy technology stacks
Engage with future technology stacks
Write client facing data visualisations
Consider code performance
Consider model accuracy
How You'll Work.
Team & Collaboration
Work with data scientists; Work with clients; Work with engineering data scientists; Work with operations data scientists; Work with sales teams; Work with consulting teams; Work with product teams
Communication Scope
Client facing data visualisations
Full Job Description
**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Lead Data Scientist ### In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We’re an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: \- Perform proof-of-concept projects, engage in product design and build prototypes. \- Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. \- Be able to perform novel research to help us and
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