Found.dev
Role Highlights
Languages used
Python
SQL
Key skills
Machine Learning
Data Science
Data Engineer
Deep Learning
Big Data
Generative AI
Feature Engineering
Computer Science
Data Structures
Statistics
Inference
Clustering
Security
Deployment
Backend
Operations
Automation
Mathematics
Economics
Quantitative
LLMs
DataSets
Tools, Libraries and Frameworks
Hive
Hadoop
Description
The role involves performing statistical profiling, inference, classification, clustering, and predictive analysis within a fraud intelligence team. The individual will create and implement machine learning models to generate insights for defending against fraud. Responsibilities include analyzing transaction event logs and developing user behavior profiles through deep learning. The position requires maintaining backend operations pipelines and monitoring model performance in production. Additionally, the role utilizes agentic frameworks to enhance detection efficiency and involves collaborating with cross-functional teams to develop analytical services.
Required Qualifications and Skills
Candidates must possess a bachelor's degree in a quantitative discipline such as data science, mathematics, statistics, economics, computer science, or engineering. A minimum of 1-2 years of relevant work experience is required. Applicants should demonstrate proficiency in Python, SQL, and experience with large datasets using tools like Spark, Hadoop, or Hive. A solid background in building machine learning, deep learning, and AI models is necessary, along with strong communication and problem-solving capabilities.
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
Visa
Description
Visa is a world leader in digital payments, facilitating more than 215 billion payment transactions between various parties across over 200 countries and territories each year. Their mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive. By including everyone everywhere, Visa believes in uplifting everyone everywhere. Working with Visa means contributing to a culture that embraces identity and purpose, ensuring that the work has a direct impact on billions of people globally by unlocking financial access and enabling the future of money movement.
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