At a Glance
- Tasks: Develop and research trading strategies using advanced coding and quantitative methods.
- Company: Join a $10 billion hedge fund with a culture of innovation and entrepreneurship.
- Benefits: Competitive salary, relocation support, and a dynamic work environment.
- Other info: Relaxed, open environment similar to tech giants like Facebook and Google.
- Why this job: Make a real impact in finance while working with cutting-edge technology.
- Qualifications: PhD in relevant fields and 3 years' experience in research or finance.
The predicted salary is between 63000 - 77000 £ per year.
Quantitative Researcher / Developer Based IN Monaco + Relocation Quant Capital is urgently looking for a Quantitative Researcher to join our high profile client.
Our client is a $10 billion strong Hedge fund with performance figures of 18%.
You will be joining a edge technology for a top quantitative Investment Manager.
Success is founded on the application of the scientific method in investment analysis, algorithmic model generation and portfolio construction coupled with an innovative and entrepreneurial culture.
I am looking for gifted applied scientists who have experience working with large, real-world data sets and large scale data modellingenjoy taking on new challenges.
The role involves research and development of trading strategies using both strong coding abilities and quantitative methodologies.
Experience within finance with any asset class is desirable.
Strategies in Equities (US and EU), FX, Commodities (Metals, Energy, Gas etc) are implemented in the company's trading environment where development is ongoing .
A broad range of experience will be considered, but you will need a solid academic background and to be open to new ideas. contribute to the model building and validation practices to the new area of algorithmic and electronic trading models; contribute to the testing framework for algo/e-trading models, ensuring that new and changed algos will not have a negative impact on the markets or our clients; provide an expert assessment of, and contribute to the monitoring of the performance of trading algorithms versus their intended aims; create high-quality, real-world code challenge the existing design The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
Candidates MUST have:§Applicants should hold a Ph D in Statistics, Physics, Econometrics, Computer Science (Machine Learning, Computational Linguistics) Physics, from a top tier University§3 years' postdoctoral experience at a leading research institution or financial services company§First-class quantitative skills, good attention to detail and significant academic achievement at Ph D level.§Candidates should have a practical approach to solving complex problems, experience of handling large datasets (preferably real world data) and the ability communicate ideas/results clearly to colleagues.
Researcher Developer in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
