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  • 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.

    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


  • AI Platform Development
  • 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

  • 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


  • 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, web-based interactive dashboards and BI tools etc.
  • Kafka, Flink, and event processing in production environments


  • AI Platform Capabilities
  • 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

  • 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
  • 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? 
     
    Benefits
     
    Competitive salary 
    Medical insurance package with extended coverage to dependents 
    Attractive annual leave entitlement including: birthday, work anniversary
    Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
    Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.  
    Work Perks: crypto.com visa card provided upon joining 
     
    Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
     
    About Crypto.com:
     
    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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