Trading Analytics Developer, Quantitative Trading

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 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.