Manager, Fraud Analytics
Core
Uses advanced analytical algorithms (machine learning, deep learning, AI) to mine and analyze large structured and unstructured data to obtain insights, design predictive models, and deliver smarter business decisions for fraud analytics and detection.
Role type
Manager, Fraud Analytics
Builds
Predictive models, data mining solutions, and innovative data strategies for consumer trends and business problem solving.
Domain
Financial Services / Fraud Detection / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Big data, Data visualization, Data wrangling, Data preprocessing, Computational thinking, Statistics, Operations research, Creative thinking, Critical thinking
Preferred skills
Fraud analytics/detection experience, FICO/FIQM experience, Java knowledge
Technologies
Machine learning frameworks, Deep learning frameworks, Big data technology, Java
Responsibilities
Design and construct new processes for modeling data; Develop prediction systems and machine learning algorithms; Conduct large-scale analysis to discover patterns and trends; Provide recommendations to business leaders; Collaborate with product teams for data-driven decision making; Apply Risk Management Framework to identify, diagnose, and solve problems.
Seniority
Manager, 5-7 years experience
