Senior Data Analyst responsible for transparency and insights across all business areas at Rosental. Developing dashboards and establishing KPI frameworks to drive data - driven decisions.
About the role
- Trading Analytics Developer responsible for advancing data and AI infrastructure in crypto trading. Bridging quantitative development and AI platform engineering to drive insights and performance.
Responsibilities
- 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.
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 and BI tools
- Kafka, Flink, and event processing in production environments
- 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.
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
Job title
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