- Quant Recruiters and Staffing SpecialistsExecution Quant
Quant Jobs
- C++ Quant Developer
- Derivatives Pricing Analyst
- Director of Quantitative Trading
- Equity Quant Researcher
- Execution Quant
- Fixed Income Quant
- Head of Quantitative Research
- Low Latency Developer
- Machine Learning Researcher
- Model Validation Analyst
- Python Quant Developer
- Quantitative Analyst
- Quantitative Data Engineer
- Quantitative Developer
- Quantitative Portfolio Manager
- Quantitative Research Associate
- Quantitative Researcher
- Quantitative Risk Analyst
- Quantitative Software Engineer
- Quantitative Strategist
- Quantitative Trader
- Risk Quant
- Statistical Arbitrage Researcher
The execution quant works on how orders reach the market and what they cost, building the models behind scheduling, venue selection and impact estimation. The value of the role is measurable and recurring: better execution improves every strategy the firm runs. The work is heavily empirical, grounded in the firm’s own fill data rather than in theory alone.
Typical Duties and Responsibilities
- Build and calibrate market impact and transaction cost models
- Develop execution scheduling and order placement logic
- Analyze fill data to measure execution quality objectively
- Research venue selection, routing and liquidity sourcing
- Build transaction cost analysis reporting for the investment team
- Investigate outliers and adverse selection in execution outcomes
- Model the interaction between strategy signals and execution horizon
- Support traders with pre trade cost and liquidity estimates
- Test execution changes rigorously before deployment
- Document methodology and maintain reproducible analysis
Education
- Master’s or PhD in a quantitative discipline
Required Skills and Experience
- 3+ years working on execution, market microstructure or transaction cost analysis
- Deep understanding of order books, venues and order types
- Strong statistics applied to high frequency and fill level data
- Proficiency with Python and SQL, and comfort with very large data sets
- Experience building or calibrating market impact models
- Ability to design a controlled experiment on live execution
- Clear reporting of execution quality to traders and portfolio managers
- Skepticism about results that are not statistically robust
Preferred Qualifications
- Experience with tick data infrastructure such as kdb+
- Exposure to algorithmic execution development