Albert Bow
Quantitative Developer | Two Streams: Execution Infrastructure and Low‑Latency Crypto | NYC or London
Albert Bow is partnering with a top‑tier systematic trading group to hire across 23 seats split between two streams. Roles are based in New York or London with an office‑first rhythm a few days per week to work closely with researchers and shared infrastructure. Hybrid is available, and remote is reserved for exceptional engineers with a proven record of shipping at scale. We are running a selective, quality‑first process rather than speed hiring.
$170k to $250k base + performance bonus
Responsibilities (Stream 1: Execution Infrastructure)
Own the backtesting engine, data ingest, and the deployment path that pushes research to production.
Build scalable backtests, benchmarking, artefact management, and release tooling on AWS.
Improve execution quality end to end: slippage analysis, TCA, routing logic, and production observability.
Use Python as glue with C++ or Rust where latency and throughput matter.
Responsibilities (Stream 2: Low‑Latency Crypto Quant Dev)
Write and tune exchange connectors across major CEXs using REST, WebSocket, and FIX.
Ship market data pipelines, order routing, and strategy integration for 24/7 markets.
Containerised deploys, Linux performance work, real‑time profiling, and fault‑tolerant recovery.
Core in Rust or C++ with production Python for research and operations.
What we are screening for:
Fluency in C++ or Rust plus practical Python.
Clear evidence you have shipped infrastructure that moved PnL.
Comfort with Kafka, kdb+ or ClickHouse, AWS, and market microstructure.
1 to 5 years building trading systems or adjacent high‑throughput systems.
Strong reasoning about data structures, algorithms, and throughput versus latency trade‑offs.
Ownership mindset and clear communication with quants and senior engineers.
What you will get:
Direct ownership in production with tight feedback from researchers and senior engineers.
Real impact on execution quality, not slideware.
$170k to $250k base plus performance bonus.
New York or London. In‑office preferred. Hybrid or remote considered for stand‑out profiles.
If you are interested, please apply with an up‑to‑date CV or reach out directly to chrisgorry@albertbow.com. Interviews are moving quickly.
#J-18808-Ljbffr
$170k to $250k base + performance bonus
Responsibilities (Stream 1: Execution Infrastructure)
Own the backtesting engine, data ingest, and the deployment path that pushes research to production.
Build scalable backtests, benchmarking, artefact management, and release tooling on AWS.
Improve execution quality end to end: slippage analysis, TCA, routing logic, and production observability.
Use Python as glue with C++ or Rust where latency and throughput matter.
Responsibilities (Stream 2: Low‑Latency Crypto Quant Dev)
Write and tune exchange connectors across major CEXs using REST, WebSocket, and FIX.
Ship market data pipelines, order routing, and strategy integration for 24/7 markets.
Containerised deploys, Linux performance work, real‑time profiling, and fault‑tolerant recovery.
Core in Rust or C++ with production Python for research and operations.
What we are screening for:
Fluency in C++ or Rust plus practical Python.
Clear evidence you have shipped infrastructure that moved PnL.
Comfort with Kafka, kdb+ or ClickHouse, AWS, and market microstructure.
1 to 5 years building trading systems or adjacent high‑throughput systems.
Strong reasoning about data structures, algorithms, and throughput versus latency trade‑offs.
Ownership mindset and clear communication with quants and senior engineers.
What you will get:
Direct ownership in production with tight feedback from researchers and senior engineers.
Real impact on execution quality, not slideware.
$170k to $250k base plus performance bonus.
New York or London. In‑office preferred. Hybrid or remote considered for stand‑out profiles.
If you are interested, please apply with an up‑to‑date CV or reach out directly to chrisgorry@albertbow.com. Interviews are moving quickly.
#J-18808-Ljbffr