CC
Crypto.com
Trading Analytics Developer, Quantitative Trading
Hong Kong · London
As of 2026-10-31, ChainJobs confirms Crypto.com is hiring a Trading Analytics Developer, Quantitative Trading in Hong Kong and London; posted 2026-09-11, apply on crypto.com.
categoryEngineering
salarynot posted
typeOn-site
posted2026-09-11
sourcecrypto.com/careers
confirmed opentoday (2026-10-31)
Apply on crypto.com →
Applications happen on the company's own careers site — we never gate them.
similar roles at other companies
2 locations · 2 identical listings at Crypto.com
- Hong KongApply for this location →
- LondonApply for this location →
Still open on Crypto.com’s own careers page when we last checked, today (2026-10-31). We re-check every listing daily and remove roles the moment they disappear at the source — how this works.
role description
We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains.
Apply on crypto.com →
Job Responsibilities
-
Data Platform & Analytics
- 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
- Design, build, and operate internal AI platforms serving multiple trading teams
- Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows
- Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability
AI Platform Development
Job Requirements
-
Mandatory Foundations
- 5+ years production experience with both Python and Java in high-performance environments
- 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
- Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS etc.)
- 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
- LLMOps practices including model lifecycle and prompt management
- Experience with AI agent frameworks in production settings like A2A and MCP
Data Platform Expertise
AI Platform Capabilities
Preferred Qualifications
-
Financial/Trading Domain
- Experience in trading systems, quantitative finance, or financial technology
- Understanding of market data, data subscription using Rest API / Web Socket
- Knowledge of cryptocurrency markets, defi and related technologies
- Excellent problem-solving skills with ability to perform under pressure
- Strong communication skills for cross-team collaboration
- Proactive approach to system reliability and performance optimization
- Continuous learning mindset in rapidly evolving AI/ML landscape
- Balance of practical engineering rigor with innovative solution development
Professional Attributes
Sourced from Crypto.com's official listing — full details and how to apply at the link above.
Get an alert when new crypto engineering roles post
We check 198 employers daily. Join now and we'll email when the first alert goes out, then max once a week. Unsubscribe in one click.
Listing ID 459ab607a66d · sourced from Crypto.com's official careers page · Report this listing via the contact form (quote the listing ID)
chainjobs.io — refreshed daily from official careers pages.← back to the board