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Crypto.com

Cryptocurrency trading and wallet platform

Trading Analytics Developer - Quantitative Trading

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • At least 5 years of production experience with both Python and Java in high-performance environments.
  • Strong software engineering fundamentals, including system design, data structures, algorithms, data integrity, accuracy, and performance optimization.
  • Expertise in Linux, GitHub, and modern continuous integration and continuous delivery practices.
  • Proven experience with AWS cloud services and Kubernetes orchestration.
  • Comfort working with large-scale, complex datasets in financial or trading contexts.
  • Advanced SQL skills, including window functions and query optimization, and experience with real-time data synchronization, database design, and infrastructure support.
  • Experience with data workflow and messaging orchestration tools such as Airflow, Jenkins, and AMPS.
  • Experience designing and implementing trading analytics metrics, including profit and loss, risk, balance and trade reconciliation, backfill, and performance tuning.
  • Experience with time-series data visualization using Grafana, TradingView, web-based interactive dashboards, and business intelligence tools.
  • Production experience with Kafka, Flink, and event processing.
  • Knowledge of retrieval system evaluation methodologies and quality frameworks.
  • Knowledge of retrieval-augmented generation pipeline architecture and optimization techniques.
  • Knowledge of large language model operations practices, including model lifecycle and prompt management.
  • Production experience with AI agent frameworks such as A2A and MCP.

Responsibilities

  • Design, build, and operate high-throughput batch and streaming data pipelines using Kafka, Flink, and extract, transform, and load technologies.
  • Design and build a unified analytics engine for processing large-scale data using Apache Spark and related tools.
  • Develop and optimize analytical data models for time-series data, financial metrics, and trading activity.
  • Implement and manage analytical databases such as ClickHouse, MongoDB, BigQuery, and Snowflake, or similar databases, using 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 retrieval-augmented generation pipelines, prompt management, and self-service workflows.
  • Create and maintain agent systems using frameworks such as LangGraph, A2A, and MCP, with a focus on controllability and auditability.

Desired Qualifications

  • Experience in trading systems, quantitative finance, or financial technology.
  • Understanding of market data and data subscriptions using REST APIs or WebSocket.
  • Knowledge of cryptocurrency markets, decentralized finance, and related technologies.

About the Company

Crypto.com

Cryptocurrency trading and wallet platform

Crypto.com operates a digital finance platform that enables trading and managing cryptocurrencies, and also offers card issuance and other financial products for individuals and institutions. It works by providing a crypto trading platform, a wallet-like experience, and card services, supported by fees from trades and premium products, with additional revenue from card issuance and related services. The company differentiates itself through a strong emphasis on regulatory compliance, security, and privacy certifications, aiming to handle large user volumes and deliver a trusted, secure user experience. Its goal is to accelerate the adoption of cryptocurrency and place Cryptocurrency in Every Wallet, building a fairer and more inclusive digital ecosystem.

Company size
5,001-10,000
Company stage
Growth Equity (Venture Capital)
Total funding
$453.7M
Headquarters
Central and Western District, Hong Kong
Founded
2016

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