Financial Crime Solutions - Data Scientist II Job at Mastercard (London)

Job Description

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.

Job Responsibility

Directly contribute to project delivery - writing code, reviewing code, and delivering ML models and analytics, as well as managing a team
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 our clients understand the different criminal behaviours in payments data
Think about how derived insights can be turned into new products and services we can offer to external clients
Be ready to learn new technologies as required and engage with legacy and future technology stacks
Write white papers, patents, and client facing data visualisations
Consider privacy, security, and regulation, as well as the performance of your code and the accuracy of your models

Requirements

Familiar with Python and with the standard data science libraries such as pandas, scikit-learn/xgboost and networkx
Keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes
Able to communicate with non-tech colleagues about technical matters
Happy and excited to explore new programming languages, technologies, and techniques
Can-do attitude, can be pragmatic where necessary, and excited to work as part of a specialist team
Can engage in constructive criticism and aren't afraid to have your code reviewed, or design decisions discussed

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Financial Crime Solutions - Data Scientist II

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