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.
Job TitleSenior Data Analyst - NuData IntegrationJob Description
Mastercard's Cyber & Intelligence Solutions organization develops and delivers world-class security products and services for customers across the globe. NuData Security predicts fraudulent transactions by identifying good users from bad, based on their online behavior. By analyzing over 38 billion behaviors annually, NuData harnesses the power of behavioral and biometric analysis to empower its clients to predict fraud and verify the user behind the device. This allows clients to predict fraud before a critical decision, reduce customer insult, and investigate bad actors efficiently.
We are looking for a Data Analyst to join our team in our Singapore office.
You are a determined pattern-finder, one that delights in the tough puzzles because nothing satisfies like finally cracking one. Dig into weird, needle-in-a-haystack Internet-based fraud cases. Ferret out suspicious behaviour from the innocuous. Decipher the pattern, find the fraud and then figure out how to catch it in the future. You'll back up your findings with deep statistical analysis and robust data modeling, which will go on to inform feature design and fraud investigation strategy for NuData product offerings.
• Intermediate level of data analysis and reporting experience in professional setting;
• Experience dealing with large data sets;
• Experience with SQL and the ability to create complex queries and joins;
• Strong data analysis and data modeling skills;
• Exceptional written and verbal communication skills.
In addition to these qualifications, you will be required to provide a professional sample of technical writing from a previous project or position. Candidates without experience in a professional setting will not be considered for this role.
• Experience with machine learning (supervised or unsupervised);
• Experience with high level programming languages: Python, PHP, or similar;
• Experience with data tools: R, SPSS, SAS and Tableau;
• High level concepts of Web Services, Internet Security and Online Behavioral Analysis.
Due to COVID-19, most of our employees are working from home. We've implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely. We value the safety of each member of our community because we know we're all in this together.
Mastercard is an inclusive Equal Employment 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.
If you require accommodations or assistance to complete the online application process, please contact email@example.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.
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