Quant Researcher & Trader - Execution & Microstructure

Polymer Capital; Hong Kong; On-site; HKD 600,000 - 1,200,000; Full time

Job summary

Polymer Capital in Hong Kong seeks a Quant Researcher/Trader for the Trading and Execution team. The role centers on transaction cost analysis, market microstructure research, and central risk book optimization, working with traders, quants, and technology teams to improve execution quality.

Responsibilities include developing TCA frameworks across markets and venues, analyzing slippage and market impact, building predictive models for costs and liquidity, and supporting CRB strategies and

Qualifications

• Quantitative degree required from a recognized institution.
• 2–5 years of practical experience in quant research or trading.
• Strong programming skills in Python; experience with KDB+/q or Java.
• Solid understanding of market microstructure and TCA concepts.

Responsibilities

• Develop and enhance TCA frameworks to evaluate execution quality across markets, brokers, venues, algorithms, and trading styles.
• Analyze execution performance: slippage, market impact, fill rates, opportunity cost, implementation shortfall, and post-trade performance.
• Conduct tick-level market microstructure research using diverse data (order book, trades, quotes).
• Build predictive models for trading costs, short-term price dynamics, liquidity conditions, and execution risk.
• Research, develop, and support central risk book strategies, including internal crossing, risk warehousing, inventory management, hedging, and risk transfer between desks.
• Build quantitative tools and monitoring frameworks for execution decision-making, internalization opportunities, risk monitoring, performance attribution, and CRB strategies.

Skills

Python

KDB+/q

Java

Statistical analysis

Machine learning

Quantitative research

Education

Bachelor's or equivalent in Mathematics/Statistics/CS/Engineering/Physics

Tools

KDB+/q

Job description

Polymer Capital in Hong Kong seeks a Quant Researcher/Trader for the Trading and Execution team. The role centers on transaction cost analysis, market microstructure research, and central risk book optimization, working with traders, quants, and technology teams to improve execution quality.

Responsibilities include developing TCA frameworks across markets and venues, analyzing slippage and market impact, building predictive models for costs and liquidity, and supporting CRB strategies and