Quantitative Developer

Albert Bow
Charing Cross, United Kingdom
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
£ 93K

Job location

Charing Cross, United Kingdom

Tech stack

Algorithmic Trading
Amazon Web Services (AWS)
C++
Data Structures
Linux
Fault Tolerance
Python
WebSocket
Low Latency
Kafka

Job description

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.

Stream 1. Execution Infrastructure Quant Dev:

  • 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.

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.

Requirements

  • 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.

Benefits & conditions

  • 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.

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