Manager, Data Scientist

Our Purpose

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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Data Scientist – Financial Crime

Who is Mastercard?

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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

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. They’re also intellectually curious, naturally analytical, and have a drive to create customer value in all the work they do.

In this position, you will:

• 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. 
• 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, in the UK and internationally.  
• Write white papers, patents, and client facing data visualisations. 
• Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. 

All About You

The ideal candidate for this position should:

Essential

• Have experience developing and deploying machine learning models at scale.
• Have experience of working in a scientific manner and creating high-quality results.
• Be able to effectively explain complex technical concepts and results to a wide variety of audiences – in both written and verbal settings.
• Be able to take a Product lens to work – thinking about the customers value as the primary goal of everything we do

Desirable

• Experience with the following: Unix CLI, Python, GoLang, Java, Dagster, MLFlow, Hadoop, Snowflake
• Experience building fraud / scam / money laundering models.
• Knowledge of the payments ecosystem
• Knowledge of blockchain / crypto ecosystem

Corporate Security Responsibility

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;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

NOTE: Candidates go through a thorough screening and interview process. There is no need to include all preferred skills in the job description.

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;

• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.