Teams at Crypto.com

Build and operate high-throughput data pipelines, analytics engines, analytical databases, and AI platforms for quantitative trading teams. Develop streaming and batch systems, trading metrics, time-series models, monitoring, RAG pipelines, prompt-management tools, and production AI agents. The role requires strong Python and Java engineering, AWS and Kubernetes expertise, advanced SQL, financial data experience, and a focus on reliability, scalability, data integrity, and performance.

Lead the evolution of trading infrastructure by managing trade operations, P&L attribution, risk monitoring, data integrity, and performance reporting. Develop Python- and machine-learning-based AI agents, MLOps workflows, anomaly detection, predictive risk models, automated reconciliations, and real-time dashboards to transform manual trading operations and improve risk analysis.

Own the Crypto.com App Trading roadmap and deliver retail crypto trading products from discovery through launch and iteration. Define product strategy, specifications, milestones, and prioritization; conduct user research; analyze trading behavior and funnels; coordinate Engineering, Design, QA, Analytics, Marketing, Compliance, and Growth; and make tradeoff decisions. The role requires end-to-end ownership of scaled crypto or perpetuals products, data-informed prioritization, cross-functional leadership, and effective use of AI development tools.