office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
office environments within financial services. Familiarity with market data feeds (e.g., Bloomberg, Reuters, 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 More ❯
risk fundamentals. Minimum of 3 years' experience in a quantitative or trading development role. Hands-on, delivery-focused mindset with the ability to operate independently. Experience with Python or KDB+/Q is beneficial but not essential. Stable career track record and a genuine interest in working closely with trading teams. This is a high-visibility position within the More ❯
