Job title: Quantitative Researcher (Multi-Asset)
Client: Pioneering HFT Quantitative Proprietary Trading Firm – Multidisciplinary team of STEM experts ranging from Mathematicians, Physicists, Technologists, Academics, and finance industry experts.
Salary: Up to £300,000 starting base + guaranteed bonus and package
Location: London (Hybrid 3days onsite)
- Pioneer of high frequency trading. Performing at the forefront of the quant industry since the late 1990s.
- Developing automated quantitative strategies and trading across a multitude of different asset classes and investment products, including Equities, Futures, Options, FX, and digital assets.
- Multidisciplinary team of STEM subject matter experts.
- PM-pod siloed trading environment but with data, execution, tech, managed centrally.
- Reputably known for successfully integrating systematic trading with traditional fundamental/discretionary research.
Objectives:
- Explore and leverage an array of complex and noisy data (market, tick, options, alt) to identify statistical patterns and unique market opportunities.
- Contribute towards existing and novel strategies by refining methodologies and exchanging research ideas.
- Leverage sophisticated statistical methods to understand and manage risk, profitability and transaction costs in conceptualizing new trading ideas.
- Back test and implement productionized trading models in a live trading environment.
- Contribute to the full lifecycle research strategy from data ingestion to alpha generation.
Required skills:
- Academic degree in mathematics, statistics, physics, computer science, or another highly quantitative discipline.
- Tangible signal generation experience. Will still consider applicants with Industry-related internship either within computational finance or technology. (Wil consider candidates with internships in other related data-driven fields).
- Knowledge of algorithms, data structures, probability and statistics.
- Experience of dealing with a multitude of noisy data challenges in a data-driven environment.
- Proficient in either C++ or Python.
Desirable skills:
- Experience with translating mathematical models and algorithms into code.
- Proficient in exploring and attaining value from noisy and complex data sets (alt, market, options, tick).
If this opportunity is of interest, please apply direct or email me directly at asalim@hunterbond.com .