{"active":true,"apply_url":"https://jobs.lever.co/crypto/2b22d4ce-69f2-497e-bdf4-57c80fc1268a/apply","company":{"claimed":false,"name":"Crypto.com","slug":"crypto-com","website":"https://crypto.com"},"countries":["HK"],"employment_type":null,"first_seen_at":"2026-10-31T10:45:10Z","getwork_url":"https://getwork.dev/jobs/lv-crypto-com-2b22d4ce-69f2-497e-bdf4-57c80fc1268a/","id":"lv-crypto-com-2b22d4ce-69f2-497e-bdf4-57c80fc1268a","injection_flag":false,"last_seen_at":"2026-11-03T06:15:09Z","location":"Hong Kong","published_at":"2026-09-11T07:57:53Z","regions":["apac"],"remote":"hybrid","role_family":"data","salary":null,"seniority":"unspecified","stack":["python","java","kafka","kubernetes","aws","linux"],"stack_mentioned":["clickhouse"],"title":"Trading Analytics Developer, Quantitative Trading","untrusted_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.\n\nJob Responsibilities\nData Platform & Analytics\n\n- Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies\n\n- Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools\n\n- Develop and optimize analytical data models for time-series, financial metrics, and trading activity\n\n- Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture\n\n- Build idempotent data pipelines with robust backfill and reconciliation capabilities\n\n- Create comprehensive monitoring for data quality, freshness, and pipeline reliability\n\nAI Platform Development\n\n- Design, build, and operate internal AI platforms serving multiple trading teams\n\n- Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows\n\n- Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability\n\nJob Requirements\nMandatory Foundations\n\n- 5+ years production experience with both Python and Java in high-performance environments\n\n- Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization\n\n- Expertise in Linux, Github, and modern CI/CD practices\n\n- Proven experience with AWS cloud services and Kubernetes orchestration\n\n- Comfort working with large-scale, complex datasets in financial/trading contexts\n\nData Platform Expertise\n\n- Advanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure support\n\n- Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS etc.)\n\n- Metric design and implementation for trading analytics (PnL, risk, balance and trade reconciliation, backfill and performance tuning)\n\n- Time-series data visualization with Grafana, TradingView, web-based interactive dashboards and BI tools etc.\n\n- Kafka, Flink, and event processing in production environments\n\nAI Platform Capabilities\n\n- Retrieval system evaluation methodologies and quality frameworks\n\n- RAG pipeline architecture and optimization techniques\n\n- LLMOps practices including model lifecycle and prompt management\n\n- Experience with AI agent frameworks in production settings like A2A and MCP\n\nPreferred Qualifications\nFinancial/Trading Domain\n\n- Experience in trading systems, quantitative finance, or financial technology\n\n- Understanding of market data, data subscription using Rest API / Web Socket\n\n- Knowledge of cryptocurrency markets, defi and related technologies\n\nProfessional Attributes\n\n- Excellent problem-solving skills with ability to perform under pressure\n\n- Strong communication skills for cross-team collaboration\n\n- Proactive approach to system reliability and performance optimization\n\n- Continuous learning mindset in rapidly evolving AI/ML landscape\n\n- Balance of practical engineering rigor with innovative solution development\n\nLife @ Crypto.com\n\nEmpowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.\nTransformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.\nGrowth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.\nWork Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.\nOne cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.\n\nAre you ready to kickstart your future with us?\n\nBenefits\n\nCompetitive salary\nMedical insurance package with extended coverage to dependents\nAttractive annual leave entitlement including: birthday, work anniversary\nWork Flexibility Adoption. Flexi-work hour and hybrid or remote set-up\nAspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.\nWork Perks: crypto.com visa card provided upon joining\n\nOur Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.\n\nAbout Crypto.com:\n\nFounded 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.\n\nLearn more at https://crypto.com.\n\nCrypto.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.\n\nPersonal data provided by applicants will be used for recruitment purposes only.","url":"https://jobs.lever.co/crypto/2b22d4ce-69f2-497e-bdf4-57c80fc1268a"}