Found.dev
Role Highlights
Languages used
Python
SQL
Key skills
Data Analysis
Prompt Engineering
Machine Learning
Data Science
Computer Science
Data Quality
Information Security
Generative AI
Operations
Optimization
Automation
Statistics
Mathematics
Economics
Quantitative
Testing
CAD
Tools, Libraries and Frameworks
IOS
Power BI
Scikit-learn
Pandas
NumPy
Description
The role involves supporting transaction and sanctions monitoring programs by tuning alerts and measuring their effectiveness. The analyst will design, test, and validate scenario risk indicators while documenting insights across the scenario lifecycle. Responsibilities include building and maintaining code to analyze monitoring data and automating manual tasks to improve efficiency. The position requires monitoring model performance to ensure regulatory defensibility and explainability. Additionally, the analyst will collaborate with internal teams to translate data analysis into clear documentation and reports for leadership.
Required Qualifications and Skills
Candidates must possess a bachelor’s degree in a quantitative field such as Data Science, Statistics, or Computer Science. Required technical skills include proficiency in Python and SQL, along with experience in data analysis and hypothesis testing. Applicants should demonstrate an understanding of AI concepts and their application in financial crime prevention. Strong written and verbal communication skills are necessary to produce governance-ready documentation for regulatory requirements.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Mastercard
Size
38185
HQ
Purchase, US
Description
MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.
Related jobs
SR Azure Database Engineer
Mastercard
Data Governance
Data Modelling
Data Factory
CICD
Dublin, Ireland
Temporary
Data Engineer
Deep Learning
Data Analysis
Feature Engineering
Pune, India
Full Time
Data Scientist
Mastercard
Scikit-learn
Data Engineer
Data Analysis
Big Data
San Francisco, CA, USA
Part Time
Full Time