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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
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 technology teams. More ❯
