Quantitative Developer (London)
London, UK
Hybrid / WFH Options
Hybrid / WFH Options
Tower Research Capital
execution algos, TCA, order-routing, or market-impact modelling Knowledge of statistical or machine-learning libraries (NumPy, pandas, scikit-learn, PyTorch) Experience building distributed systems with message buses (Kafka, ZeroMQ) and asynchronous I/O Experience with cloud or on-prem orchestration and scheduling frameworks (Kubernetes, HT Condor, SLURM) Benefits Tower’s headquarters are in the historic Equitable Building, right More ❯
Employment Type: Full-time
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