Hiring: Trading Analytics Developer, Quantitative Trading Company: Crypto.com Location: Chicago, IL Job Posted Time: 2026-09-16 11:58:06 Employment Type: Hybrid Target Skills & Keywords : AI, AWS, Airflow, BigQuery, CI/CD, CV, ClickHouse, Data Pipeline, DeFi, ETL, Flink, GitHub, Grafana, Java, Jenkins, Kafka, Kubernetes, Linux, MongoDB, Python, RAG, REST, SQL, Snowflake, Spark, Systems Design About the job Experience: •5+ years production experience with both Python and Java in high-performance environments Required Skills: •Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies •Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools •Develop and optimize analytical data models for time-series, financial metrics, and trading activity •Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture •Build idempotent data pipelines with robust backfill and reconciliation capabilities •Create comprehensive monitoring for data quality, freshness, and pipeline reliability •AI Platform Development •Design, build, and operate internal AI platforms serving multiple trading teams Qualifications: •Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization •Expertise in Linux, Github, and modern CI/CD practices •Proven experience with AWS cloud services and Kubernetes orchestration •Comfort working with large-scale, complex datasets in financial/trading contexts •Advanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure support •Metric design and implementation for trading analytics (PnL, risk, balance and trade reconciliation, backfill and performance tuning) •Time-series data visualization with Grafana, TradingView, web-based interactive dashboards and BI tools etc •Kafka, Flink, and event processing in production environments •Retrieval system evaluation methodologies and quality frameworks •RAG pipeline architecture and optimization techniques Compensation: •$100,000 - $120,000 / year •401(k) plan with employer match Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!