FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
FIX) and tick-level data processing. Knowledge of SQL and experience with time-series databases (e.g., kdb+, TimescaleDB, or similar). Exposure to distributed systems, messaging frameworks (e.g., Kafka, ZeroMQ), and event-driven architectures. Excellent communication skills and ability to work effectively across quant, trading, and technology teams. Preferred Qualifications Degree in Computer Science, Engineering, Mathematics, or a related field. More ❯
Cambridge, Cambridgeshire, England, United Kingdom
Adria Solutions
Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data More ❯
Cambridge, Cambridgeshire, East Anglia, United Kingdom
Adria Solutions
Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data More ❯
