Quantitative Researcher

Durlston Partners; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Durlston Partners in New York is seeking a Quantitative Researcher for the Execution Research team focused on equities with potential cross-asset growth. This is a research role addressing open problems in execution, including market impact measurement and routing/broker algo evaluation.

You will work on benchmarks and live trading comparisons, building robust models and reporting that shape trading decisions. A strong quantitative background and coding ability are essential.

Qualifications

• Strong quantitative background in statistics, mathematics, or related fields.
• Genuine intellectual curiosity about market structure and execution research.
• Experience with transaction cost analysis, market microstructure, or algorithmic execution research is a plus.

Responsibilities

• Build and refine execution quality benchmarks by measuring realized performance against predictions.
• Research market impact and close gaps between theoretical models and live trading.
• Evaluate and allocate across external broker execution algorithms and routing decisions.
• Produce research and reporting that informs portfolio managers and traders about execution quality.

Skills

Strong quantitative background

Python

KDB/Q

Genuine intellectual curiosity about市场

Education

Statistics or Mathematics

PhD a plus but not required

Tools

Python

KDB+/Q

Job description

Quantitative Researcher - Execution Research (Equities)

New York

A multi-billion dollar systematic investment firm is hiring a Quantitative Researcher to join its Execution Research team, initially focused on equities with room to grow into cross-asset coverage over time.

This is a research role, not a reporting role - you'll be working on genuine open problems in execution: measuring market impact more accurately, improving how well trading simulations match live execution, and helping the desk make better decisions about routing and broker algo selection.

What you'll work on

• Building and refining execution quality benchmarks - measuring realized performance against predicted cost
• Researching market impact, with a focus on closing the gap between theoretical models and what actually happens in live trading
• Evaluating and allocating across external broker execution algorithms
• Producing research and reporting that shapes how portfolio managers and traders think about execution quality

What we're looking for

• Strong quantitative background - Statistics or Mathematics preferred; PhD a plus but not required
• 1+ years of relevant experience; exceptional candidates with less are welcome to apply given strong academic pedigree
• Experience with transaction cost analysis, market microstructure, or algorithmic execution research (sell-side or buy-side)
• Genuine intellectual curiosity about market structure - this is a research-driven seat, not a maintenance one
• Strong coding ability (Python and/or KDB/Q a plus)

If this is of interest or you know someone who could be a good fit, reach out.