The Risk Quantitative Development (RQD) model implementation team develops and manages features and enhancements to services that execute ML pipelines for fraud detection and risk assessment. Our activities include perform hands-on coding of production-ready code using scala, spark , other programming languages or tools, assist modelling teams in their coding, and create tools which validate data and which streamline the implementation process. The candidate will be part of the development team that drives target state architecture design and implementation of the highly scalable, fault-tolerant and low latency services.
Roles & Responsibilities
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