Senior Analyst / Data Scientist, Mastercard
Compliance Strategy, Data Intelligence & Innovation
CA$83-132k
3 days a week in office
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
CA$83-132k
3 days a week in office
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- CSDII is looking for someone who enjoys analyzing data to generate practical improvements, can simplify and automate manual work, and can support AI and analytics projects that strengthen monitoring outcomes in a well-governed and well-documented manner
- Bachelor’s degree (or equivalent) in Data Science, Data Analytics, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
- Strong foundation in data analysis, including descriptive statistics, basic hypothesis testing, and translating business questions into analytical approaches
- Hands-on experience with Python to support data analytics (e.g., pandas, NumPy, scikit-learn)
- Working knowledge of SQL (joins, aggregations, window functions) and an understanding of how to validate and reconcile results
- Experience with, or a strong understanding of, AI concepts and how they can be applied in a controlled way towards financial crime prevention (e.g., using machine learning or generative AI to help prioritize alerts, reduce false positives, or automate documentation and reporting)
- Demonstrated ability to reduce alert noise while maintaining or improving detection coverage through data driven analysis
- Experience translating business or regulatory questions into analytical features, thresholds, or performance metrics
- Experience with production of governance ready documentation to support model changes, internal reviews, and audit or regulatory requirements
- Clear written and verbal communication skills, with the ability to document work so that it is understandable to both technical and non-technical partners
- Comfort working with common analytics and reporting tools (e.g., Excel and/or Power BI) and a willingness to learn new platforms and monitoring systems
- Interest in financial crime prevention with basic understanding of AML and sanctions concepts (e.g., suspicious activity monitoring, sanctions screening, typologies, and why governance and auditability matter)
- Ability to proactively manage time and prioritize assignments to meet target dates and deadlines, while delivering thorough, accurate and quality work product
- Ability to quickly learn and apply payments industry terminology and AML-specific data context
- Strong attention to detail with the ability to produce accurate, high-quality analytical reports under deadlines
- Ability to work independently, thrive in fast paced and dynamic environment, and consistently meet established deadlines
- Ability to clearly explain and defend analytical conclusions verbally and in writing
- Ability to remain flexible in a demanding work environment while adapting rapidly changing priorities
- Availability to work in a hybrid model, with a requirement to be in the office 3 times per week
What the job involves
- The Compliance Strategy, Data Intelligence & Innovation Group (CSDII) helps detect, investigate, and prevent financial crime across the transaction lifecycle
- We work closely with internal Compliance, Legal, Technology, and Operations teams to strengthen anti-money laundering (AML), counter-terrorist financing (CTF), and sanctions compliance by using data to obtain actionable insights aiming to continuously improve our network
- In the Sr Analyst, Data Scientist role, you will support transaction and sanctions monitoring programs by performing ongoing tuning of alerts and measuring what works
- Support tuning and optimization of sanctions screening and transaction monitoring scenarios, with a focus on alert quality, false positive reduction, and regulatory defensibility
- Design, test, and validate scenario risk indicators and analytical features using transactional, entity, and behavioral data
- Document insights across the scenario lifecycle, including hypothesis development, tuning analysis, validation, and production readiness
- Monitor and assess scenario and model performance to ensure explainability, auditability, and regulator readiness
- Prepare clear summaries of scenario performance, trade offs, and residual risk for compliance leadership and partners
- Build and maintain reusable Python and SQL code to pull, clean, and analyze monitoring data while assuring outputs are accurate, repeatable, and easy to audit
- Look for ways to automate repeatable manual work (e.g., data preparation, recurring reports, and quality checks) and help test simple solutions with technology partners
- Support AI and advanced analytics work (e.g., help create features, check how models perform over time, and summarize results in a way that is easy to understand)
- Turn data analysis into clear notes, visuals, and simple documentation that explains what was done, why, and what changed
- Help improve data quality by reconciling key fields, flagging unusual patterns, and supporting root cause analysis to reduce noise in monitoring
- Work with investigators and monitoring specialists to understand common typologies, regulatory expectations and reflect that context in your data analysis and automation work
- 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
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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