- Participate in developing fraud detection, anti-money laundering, and claim automation products
- Work with structured data, free text, documents, and images
- Implement data engineering from client extracts to insertion into SQL and ElasticSearch data stores
- Develop, test, tune, and productionize models for fraud detection and automation detection in complex environments
- Automate key business tasks in the production process framework using C#
- Conduct client meetings and interact with external stakeholders
- Gather user feedback, present business cases, and define product evolution roadmaps
Requirements
- 2+ years of experience in C# and SQL
- Production-quality, maintainable coding skills
- Degree in machine learning and/or statistics, or explicit understanding of statistics and machine learning problems, tasks, and common resolutions
- Comfortable communicating with clients regularly
- Interest in learning and mastering the business aspects of insurance products
Core Competencies
Demonstrates expertise in C# and SQL for developing fraud detection and automation products, with a strong foundation in machine learning and statistics. Capable of engaging with clients and stakeholders to gather feedback and define product roadmaps.
Highest-signal resume keywords
- C# Programming
- SQL Database Management
- Machine Learning Understanding
- Data Engineering
- Client Communication
ATS Optimization Keywords
Hard Skills
- C#
- SQL
- Data Engineering
- Machine Learning
- Statistics
- Model Development
- Automation
- Production Coding
- Data Tuning
- Fraud Detection