Trading Analytics Engineer – AI-Driven Quant Strategies

CryptoproNetwork

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

Crypto.com is seeking an experienced Trading Analytics Developer to join its Quant Trading team in London. You will bridge high‑performance trading with modern AI infrastructure, building scalable data platforms and AI tooling to deliver reliable analytics, risk metrics, and actionable insights.

Responsibilities span data engineering, analytics model development, and AI platform capabilities. You will work across batch/streaming pipelines, backfill/reconciliation, and monitoring, ensuring system

Qualifications

  • 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.

Responsibilities

  • 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 with cost‑aware architecture (ClickHouse, MongoDB, BigQuery, Snowflake).
  • 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 LangGraph, A2A, MCP with focus on controllability and auditability.

Skills

Python
Java
Linux
GitHub
AWS
Kubernetes
Data analysis
Problem-solving
Communication
CI/CD

Tools

Kafka
Flink
ClickHouse
MongoDB
BigQuery
Snowflake
Airflow
Jenkins
AMPS
Grafana
TradingView
REST API
WebSocket
LangGraph
A2A
MCP

Job description

Crypto.com is seeking an experienced Trading Analytics Developer to join its Quant Trading team in London. You will bridge high‑performance trading with modern AI infrastructure, building scalable data platforms and AI tooling to deliver reliable analytics, risk metrics, and actionable insights.

Responsibilities span data engineering, analytics model development, and AI platform capabilities. You will work across batch/streaming pipelines, backfill/reconciliation, and monitoring, ensuring system

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