Our PurposeWe 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 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.Title and SummarySenior Data Scientist – Financial CrimeSenior Data Scientist – Financial CrimeWho 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.OverviewThe 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.RoleIn this position, you will:Deploy industry-leading models to customers around the worldConduct Proof-of-Value exercises with customersContribute towards the research and development of new ML-powered solutionsSupport in-production models, ensuring that they meet their user’s needs over timeCollaborate across the business to learn of new opportunities to utilise other services to improve our model suiteWork closely with Engineering to ensure our models are delivered into Production according to our specificationsAll About YouThe ideal candidate for this position should:EssentialHave 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.DesirableExperience with the following: Unix CLI, Python, GoLang, Java, Dagster, MLFlow, Hadoop, SnowflakeExperience building fraud / scam / money laundering models.Knowledge of the payments ecosystemKnowledge of blockchain / crypto ecosystemCorporate Security ResponsibilityEvery 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, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.Corporate Security ResponsibilityAll 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, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.
