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    Manager, Data Scientist - London, United Kingdom - Mastercard

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    Description

    We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible.

    Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential.

    We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. Manager, Data Scientist

    Data Scientist – Financial Crime

    Mastercard is a global technology company in the payments industry.

    Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

    Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.


    With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.


    The Payment Security & Risk Data Science team are looking for a Data Scientist to join the team and help develop, deploy and support our suite of models used to prevent financial crime globally.

    The ideal candidate has experience working in financial crimes, and is passionate about stopping it. Perform proof-of-concept projects, engage in product design and build prototypes.


    • Collaborate across different business teams to gather requirements and develop projects to deliver on agreed outputs
    • 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.
    • Write white papers, patents, and client facing data visualisations.
    • This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models.
    Have experience developing and deploying machine learning models at scale.


    • Have experience of working in a scientific manner and creating high-quality results.
    • Unix CLI, Python, GoLang, Java, Dagster, MLFlow, Hadoop, Snowflake
    • Experience building fraud / scam / money laundering models.
    • Knowledge of blockchain / crypto ecosystem
    Every person working for, or on behalf of, Mastercard is responsible for information security.

    All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:


    • Abide by Mastercard's security policies and practices;
    • Report any suspected information security violation or breach, and
    All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

    Abide by Mastercard's security policies and practices;

    Report any suspected information security violation or breach, and


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