Quantitative Researcher with at least two years of background in cash equities strategies/trading and alpha research methods combined with strong programming skills, ideally in Python, and experience in building ML / time series data analysis infrastructure would be a big plus, is required by a boutique quantitative investment company focused on systematic trading.
The role is hybrid and based in Manhattan four days per week. It is a chance to work at the forefront of systematic trading, where innovation and quantitative analysis intersect and are heavily data-driven. But also within a boutique business where you will be noticed and rewarded, and there is an excellent opportunity to grow your career and knowlege.
Salary Circa £130-200k + Bens + Bonus to 50%.
Key skills required for the Quantitative Researcher – Equities would include
- Familiar with developing and analysing equity alpha research methodologies in cash equities,
- Developing and traded systematic equity strategies with proven track records.
- A minimum of two years of alpha research experience in systematic equity trading,
- Exceptional fresh graduates with advanced degrees in quantitative majors / financial engineering could also be considered.
- Strong programming skills, preferably in Python and data systems.
- Experience in ML/machine learning and building scalable time series data analysis infrastructure/ time series models is a big plus.
- Knowledge of portfolio construction and trade execution is highly desirable.
- Ability to work both independently with little guidance and be part of a highly skilled team.
Key Responsibilities for the Quantitative Researcher – Equities would include
- Process and analyze all kinds of data sets in various formats, structured or unstructured.
- Collaborate closely with the PM to develop alpha signals out of both traditional and alternative data sets.
- Adopt the data driven approach to come up with creative alpha generation ideas and rigorously backtest these ideas.
- Collaborate with other team members to improve existing research and trading infrastructure, as well as adding new data analysis and research tools.
- Take a proactive approach to problem-solving, demonstrating a high level of motivation and initiative in the pursuit of innovative trading strategies.
- Stay informed about market trends, emerging technologies, and advancements in quantitative finance.
This is an outstanding chance for a Quantitative Researcher with an equities focus quantitative research skills and data centric programming skills to flex their engineering skills within a mid-sized global quantitative investment firm that is passionate about innovative technology to drive returns.
Opus Resourcing acts as an employment agency with respect to permanent employment.
