Crypto2mo ago

Trading Analytics Developer, Quantitative Trading

Hong Kong·Hong Kong SarFull-timemid

Data ScienceOtherAnalytics Developer

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Quick Summary

Overview

The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives.

Technical Tools

Data ScienceOtherAnalytics Developer

The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments.

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.

Data Platform & Analytics

Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies

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

Develop vector search systems with optimized HNSW indexing and hybrid retrieval capabilities

Implement evaluation frameworks for retrieval quality (Recall@K, MRR, nDCG) and RAG systems

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

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

Data Platform Expertise

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 and BI tools

Kafka, Flink, and event processing in production environments

AI Platform Capabilities

Vector search system design and optimization (recall/latency/memory trade-offs)

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

LangGraph / LangChain to build AI workflow and to connect AI models with data and tools to create smarter applications.

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

Professional Attributes

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

Location & Eligibility

Where is the job

Hong Kong Sar, Hong Kong

Hybrid — some on-site time required

Who can apply

Listed under

Hong Kong

Listing Details

Posted: February 2, 2026
First seen: April 14, 2026
Last seen: May 1, 2026

Posting Health

Days active: 16
Repost count: 0
Trust Level: 33%
Scored at: May 1, 2026

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Crypto

lever

Employees

125

Founded

2018

Domain

Jobs

External application · ~5 min on Crypto's site

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Trading Analytics Developer, Quantitative Trading

Apply Now

Trading Analytics Developer, Quantitative Trading

Quick Summary

Location & Eligibility

Listing Details

Posting Health

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