Senior Data Scientist - Financial Crime-1

Key Skills

Apache Hadoop, Crypto, Data science techniques, Financial Risk, GoLang, Java Programming, Machine learning techniques, MLflow, Planning and organization, Python Programming, Snowflake

Job Description

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 Senior 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.

Role

In this position, you will:

• Deploy industry-leading models to customers around the world
• Conduct Proof-of-Value exercises with customers
• Contribute towards the research and development of new ML-powered solutions
• Support in-production models, ensuring that they meet their user’s needs over time
• Collaborate across the business to learn of new opportunities to utilise other services to improve our model suite
• Work closely with Engineering to ensure our models are delivered into Production according to our specifications

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

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.