Senior Real-Time Quantitative Trading Engineer

Radley James; New York (NY); On-site; USD 225,000 - 325,000; Full time

Job summary

Radley James is seeking a Senior/Principal Quantitative Developer to join a well-capitalized fintech building real-time trading infrastructure in New York. This hands-on role blends quantitative finance with high-performance backend systems, including position-keeping, data pipelines, and low-latency APIs.

You will own production-critical components, implement streaming with Kafka, and collaborate with trading, risk and operations.

Qualifications

• 8+ years in financial markets or demanding fintech environments.
• Strong SQL/PostgreSQL with performance optimization.
• Experience designing production REST APIs (FastAPI or similar).
• Hands-on Kafka or comparable event-streaming experience.
• Experience with Redis or similar caching technologies.
• Excellent testing discipline and a correctness-first mindset.
• Comfortable owning critical production systems.
• Exposure to AWS, distributed databases and infrastructure-as-code.

Responsibilities

• Design and build real-time position-keeping and financial data pipelines.
• Develop stateful event-streaming systems using Kafka and CDC patterns.
• Own APIs serving real-time positions and balances to downstream applications.
• Build and evolve booking models and transaction flows.
• Engineer for financial correctness through reconciliation, replay, gap detection and point-in-time accuracy.
• Take production ownership across performance, observability, incident response and reliability.
• Partner with quantitative, trading, risk and clearing stakeholders.
• Influence architecture and technical direction of the platform.

Skills

SQL/PostgreSQL

REST APIs

Kafka

Redis

Testing discipline

Production systems ownership

Financial markets experience

Tools

AWS

Terraform

Distributed databases

Job description

Radley James is seeking a Senior/Principal Quantitative Developer to join a well-capitalized fintech building real-time trading infrastructure in New York. This hands-on role blends quantitative finance with high-performance backend systems, including position-keeping, data pipelines, and low-latency APIs.

You will own production-critical components, implement streaming with Kafka, and collaborate with trading, risk and operations.