Summary:
You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.
You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.
Responsibilities:
Analyze and interpret complex data sets to derive actionable insights and inform decision-making.
Perform the statistical analysis on the feature transformation and business impact analytics
Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
Requirements:
At least 6 years above
MS above
STEM only
Big Query, Python
Understand the production systems architect overview