Build and operate high-throughput data pipelines, analytics engines, analytical databases, and AI platforms for quantitative trading teams. Develop streaming and batch systems, trading metrics, time-series models, monitoring, RAG pipelines, prompt-management tools, and production AI agents. The role requires strong Python and Java engineering, AWS and Kubernetes expertise, advanced SQL, financial data experience, and a focus on reliability, scalability, data integrity, and performance.
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
- 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
- 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
Data Platform & Analytics
AI Platform Development
Job Requirements
- 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
- 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
- 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
Mandatory Foundations
Data Platform Expertise
AI Platform Capabilities
Preferred Qualifications
- 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
- 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
Financial/Trading Domain
Professional Attributes
Life @ Crypto.com
Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.
Transformational and proactive working environment. Empower 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.
Work Flexibility Adoption. Flexi-work hour and hybrid set-up
Aspire career alternatives through us - our internal mobility program offers employees a new scope.
Are you ready to kickstart your future with us?
Benefits
Competitive salary
Attractive annual leave entitlement including: birthday, work anniversary
401(k) plan with employer match
Eligible for company-sponsored group health, dental, vision, and life/disability insurance
Work Flexibility Adoption. Flexi-work hour and hybrid set-up
Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
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.
Please note that only shortlisted candidates will be contacted.
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