AI Business Rules Author – Senior Software Engineer Full-time

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.

Title and Summary

AI Business Rules Author – Senior Software Engineer

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 Business Rules Engineering & Strategy team is looking for a Senior Software Engineer to drive forth our mission of building integrated AI Model and Business Engineering solutions that provide transaction level output for internal and external Mastercard fraud and security products. Business Rules embed intelligence into the transactional cycle by leveraging scoring models, cohesive rule strategies and behavioral data, and when combined with our agile rule development & deployment capabilities, results in a competitive advantage for all stakeholders, in the entire payment ecosystem.

Role
• Provide technical expertise for fraud prediction applications, which include mission critical, high volume transaction processing systems
• Analyze product requirements for AI Model implementation and provide feedback on capabilities and effectiveness of solutions
• Design effective rule strategies to identify and provide solutions for customers
• Facilitate AI Model development via business logic understanding and technical intergration into a production environment
• Develop and implement business engineering in an agile environment
• Validate rule changes against transactions data and ensure quality is enforced
• Work in a collaborative space with multiple technical departments to engineer offline solutions into an online and real time system

All About You
The ideal candidate for this position should:
• Have a bachelor’s degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent work experience.
• Be familiar with emergent AI technologies and trends
• Have IBM Operational Decision Manager software experience.
• Have current experience in delivering technical solutions and capabilities to meet business and product strategies, including a focused relationship with technical and business providers. Financial Services or Payments experience a plus.
• Direct experience with the development of custom software applications and services across a variety of technology selections and frameworks.
• Experience with software engineering concepts and methodologies, including agile lifecycles, testing automation, and behavior-driven development.
• Strong background in SQL or other database orientated language.
• Strong background in object-oriented architecture, design, and development. Direct Java experience preferred. Experience with multiple OO languages.
• High-energy and detail-oriented, with the ability to function under pressure in an independent environment with a high degree of initiative and self-motivation to drive results; good at organizing and planning for several concurrent initiatives with conflicting needs.
• Interested in building solutions that help recognize and prevent payment fraud?
• Strong sense of curiosity, analytical problem solving and is passionate about the customer experience journey.
• Flexible work style with the ability to quickly pivot to new priorities.

#AI2

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 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.

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.