Execution Research Lead - Durlston Partners - London
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Job Description
A top Crypto Quant fund (backed by TradFi) is looking to hire a Quantitative Researcher to spearhead their Execution research function. This is a unique opportunity to be the first dedicated hire in this area, with the potential to shape and lead execution strategies and infrastructure. Role Overview: As the Execution Quantitative Researcher, you will play a pivotal role in establishing and advancing execution research efforts. This is an exciting opportunity to be the inaugural hire in this domain, allowing you to define and lead our execution strategies from the ground up and learn on the job. Key Responsibilities include creating and enhancing execution strategies, optimising order placement to reduce slippage, developing market impact models, validating backtesting engines, and collaborating with researchers. Qualifications include 2-8 years in quant trading and execution research, strong background in market microstructure and TCA, proficiency in Python, and an advanced degree in a quantitative field. Crypto trading experience is a plus.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 85 |
| Remote | 4 |
| Europe | 2 |
| UK | 1 |
| Role type | Active listings |
|---|---|
| Software Engineer | 13 |
| Quantitative Researcher | 6 |
| Quantitative Developer | 5 |
| C++ Engineer | 3 |
| Data Scientist | 3 |
| Senior Software Engineer | 2 |
| Finance Data Scientist | 2 |
| Data Engineer | 2 |
| Portfolio Manager | 2 |
| Machine Learning Researcher | 2 |
| Frontend Developer | 2 |
| Quantitative Trader | 2 |
| Financial Trader | 1 |
| C++ Developer | 1 |
| Options Trader | 1 |
| Quantitative Research Lead | 1 |
| Software Engineering Manager | 1 |
| Chief Legal Officer | 1 |
| Java Developer | 1 |
| C++ Software Engineer | 1 |
| Senior C++ Engineer | 1 |
| Enterprise Account Executive | 1 |
| Infrastructure Lead | 1 |
| AI Engineer | 1 |
| C++ Team Lead | 1 |
| Senior AI/Deep Learning Quantitative Researcher | 1 |
| Python Developer | 1 |
| Cloud Infrastructure Engineer | 1 |
| Hardware Engineering | 1 |
| Machine Learning / Software Engineer | 1 |
| FPGA Engineer | 1 |
| Head of Artificial Intelligence | 1 |
| UI/UX Engineer | 1 |
| Full Stack Engineer | 1 |
| Hardware Engineer | 1 |
| Research Scientist | 1 |
| Front End Engineer | 1 |
| Systematic Portfolio Manager | 1 |
| Emerging Markets Rates & FX Portfolio Manager | 1 |
| Smart Contract Engineer | 1 |
| Golang Engineer | 1 |
| Quant Developer | 1 |
| Quantitative Strategist | 1 |
| Business Analyst | 1 |
| Options Volatility Traders | 1 |
| Researcher | 1 |
| Options Strategist | 1 |
| DeFi Software Engineer | 1 |
| Frontend Engineer | 1 |
| Systematic Equity Quantitative Researcher | 1 |
| Head of AI | 1 |
| Quantitative Analyst | 1 |
| Principal Engineer | 1 |
| Financial Analyst | 1 |
| Project Manager | 1 |
| Middle Office Software Engineer | 1 |
| Quantitative Portfolio Manager | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 77 |
| Senior | 3 |
Durlston Partners appears in 92 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Remote - Global, Remote, and Europe.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Create and enhance execution strategies aimed at capitalising on new alpha signals over various time frames, ranging from seconds to hours.
- Optimise order placement and scheduling techniques to effectively reduce slippage during trades.
- Develop comprehensive market impact models and seamlessly integrate them into the portfolio optimisation framework.
- Leverage internal trading data to validate and improve backtesting engines, ensuring robust performance analysis.
- Work closely with fellow researchers to contribute to the overall development of trading strategies and methodologies
Requirements
- 2-8 years in Quant trading and Execution Research
- Strong background in market microstructure analysis, transaction cost analysis (TCA), and simulator design
- Proficient in Python; C++ knowledge is a plus
- Familiarity with utility function design, rules-based logic for order execution, and multi-period optimization preferred
- Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Physics)
Skills & Technologies
Education Level
Masters