Job Responsibilities

● Design and optimize the order execution layer for the firm’s high-frequency market making, arbitrage, and short-horizon strategies, including but not limited to order slicing, order placement algorithms, cancelation logic, Smart Order Routing, and cross-exchange matching.

● Conduct in-depth analysis of exchange and trading‐pair microstructure features (order book depth, order book dynamics, matching priority, maker-taker fee structure, latency distribution) and translate findings into actionable strategy adjustment recommendations.

● Design, develop, and implement execution algorithms (e.g., TWAP, VWAP, POV, iceberg orders, dynamic limit/market hybrid) to maximize fill efficiency and minimize slippage and market impact.

● Monitor fill quality, slippage, market impact, hedge latency, and execution costs (including trading fees, funding rates, cancelation costs, cross-exchange transfer times, etc.) in real time, and periodically generate TCA (Transaction Cost Analysis) reports to drive execution improvements.

● Collaborate closely with the research and quant development teams to implement alpha signals at the execution layer, optimizing system latency, throughput, and robustness.

● Build and maintain monitoring and alerting mechanisms for the execution system to ensure rapid response and fallback procedures in case of anomalies (e.g., API delays, liquidity shocks, exchange outages, cross‐exchange transfer delays).

● In the crypto domain, optimize routing strategies across multiple exchanges and product types (spot and perpetual).

● Continuously research market structure evolution (e.g., changes in centralized exchanges, algorithmic counterparty behavior) and incorporate new insights into execution strategies.

Job Requirements

● Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Physics, Financial Engineering, or a related quantitative field; Master’s degree or above preferred.

● Strong programming skills with proficiency in at least one language (e.g., Python, C++, Rust, Go) for algorithm implementation, data analysis, and system integration.

● Deep understanding of market microstructure, order book matching mechanisms, liquidity theory, price impact, and transaction cost models; HFT or high-frequency trading execution experience is a plus.

● Familiarity with crypto exchanges and products (including spot, perpetual contracts, options, DeFi/DEX pools) and their execution characteristics (API architecture, order placement/taking behavior, funding rates, cross‐exchange latency, etc.).

● Practical experience in HFT, market making, arbitrage, or execution algorithm design and optimization, with the ability to measure slippage, impact, and latency in a live trading environment and propose improvements.

● Proficiency with data analysis and backtesting tools (e.g., pandas, NumPy, SciPy, matplotlib, or specialized HFT tools), able to extract statistical features from tick-level order book data.

● Strong team collaboration skills, able to work with research, development, trading, and risk teams; high execution drive and ability to respond quickly to emergent execution issues.

● Good English reading skills, capable of understanding technical and financial documents in English.