Quantitative Developer

Key Responsibilities

• Develop and enhance performance-critical components of a market-making platform, including market-data ingestion, order routing, and quoting logic

• Continuously reduce latency, jitter, and bottlenecks across execution flows and real-time data pipelines

• Design and maintain resilient exchange integrations using WebSocket, REST, and FIX-style protocols, with a focus on micro-latency behavior

• Analyze, profile, and optimize system performance within cloud-based deployments

• Build internal observability and monitoring tools to track latency metrics such as order round-trip time, market-data lag, and queue behavior

• Tune runtime and system-level parameters including garbage collection, CPU affinity, asynchronous event loops, and scheduling strategies

• Support the development of automated load-testing and stress-testing frameworks that emulate real exchange conditions

• Work closely with trading teams to implement strategy parameters, controls, and scenario validation

Requirements

• 5+years of experience building low-latency applications

• Proficient in Python, with hands-on experience in at least one high-performance systems language such as C++ or Rust

• Experience implementing core trading components such as market-data processors, pricing/quoting logic, internal order books, and price caches

• Practical knowledge of low-latency design patterns (e.g., lock-free structures, ring buffers, cache-aware design)

• Experience using profiling and performance-tuning tools to diagnose and resolve bottlenecks

• Solid understanding of network-level latency and its impact on distributed systems

• Familiarity with exchange mechanics, including order types, funding, rate limits, order-book events, and trading halts

• Hands-on experience with containerized environments and automated deployment pipelines

• Experience with publish/subscribe or streaming systems such as Kafka, NATS, Redis Streams, or custom frameworks

• Prior exposure to crypto or traditional market-making platforms

• Awareness of common centralized exchange API behaviors and edge cases