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Trading Analytics Developer, Quantitative Trading

Crypto.com

Singapore

Hybrid

SGD 80,000 - 120,000

Full time

2 days ago
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Job summary

A leading cryptocurrency platform in Singapore is seeking an experienced Trading Analytics Developer to enhance data and AI infrastructure for its Quant Trading team. This role combines quantitative development with AI engineering, focusing on building scalable systems and facilitating data flow between trading systems and AI applications. The ideal candidate will have expertise in SQL, familiarity with Kafka, Flink, and a strong background in trading analytics. This position offers hybrid work options and a competitive salary package.

Benefits

Competitive salary
Medical insurance with extended coverage
Flexible working hours
Crypto.com visa card upon joining

Qualifications

  • Experience in trading systems or quantitative finance.
  • Strong understanding of market data and supplemental APIs.
  • Proficient in AI tooling and knowledge of cryptocurrency markets.

Responsibilities

  • Develop and implement trading analytics tools.
  • Optimize AI platform capabilities for trading systems.
  • Support real-time data workflows and reporting.

Skills

Advanced SQL with window functions
Real-time data synchronization
Metric design and implementation
Time-series data visualization
Kafka, Flink, event processing
Airflow, Jenkins, messaging orchestration
Experience with AI agent frameworks

Education

Degree in Computer Science or related field

Tools

Grafana
TradingView
Job description

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, streaming using Kafka, Flink, and ETL technologiesRecallDCG) and RAG systems

  • Build reusable AI tooling including standardized RAG pipelines, prompt management, and self‑service workflows
  • \ 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.
    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
    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
    Benefits
    • Competitive salary
    • Medical insurance package with extended coverage to dependents
    • Attractive annual leave entitlement including birthday and work anniversary
    • Work flexibility: flexi‑work hour and hybrid or remote set‑up
    • Aspire career alternatives through internal mobility program
    • Crypto.com visa card provided upon joining

    Life @ Crypto.com

    Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.

    Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.

    Growth from within. We help to develop new skill‑sets that would impact the shaping of your personal and professional growth.

    Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.

    One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.

    Are you ready to kickstart your future with us?

    Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.

    Learn more at https://crypto.com.

    Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.

    Personal data provided by applicants will be used for recruitment purposes only.

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