The role involves conducting quantitative alpha signal research, managing research processes including data analysis and backtesting, and evaluating new datasets for alpha potential. It requires strong analytical skills and the ability to apply new methodologies while collaborating with a team.
ABOUT CUBIST
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
ROLE
Our research center in Singapore is seeking an experienced researcher with a strong background in alpha research. In this highly selective role you will have access to abundant research resources and exciting opportunities to discover high quality alpha signals that directly drive our investment decisions.
RESPONSIBILITIES
- Conduct original quantitative alpha signal research
- Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code
- Evaluate new datasets for alpha potential
- Follow, digest, analyze and improve upon the latest academic research
DESIRABLE CANDIDATES
- 2+ years of research experience in Equities.
- Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline.
- Programming in any of the following: R, Python, or C++.
- Experience with SQL.
- Demonstrated ability to learn and apply new methodologies to alpha generation.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- Detail-oriented.
- Willingness to take ownership of his/her work.
Top Skills
C++
Python
R
Similar Jobs
Be an Early Applicant
Entry-Level Quantitative Researchers at Cubist conduct rigorous research focusing on predictive models and quantitative alpha signals. They engage in idea generation, data analysis, hypothesis testing, backtesting, and portfolio analysis while building analytical tools to enhance research.
Be an Early Applicant
As a Quantitative Researcher at Citadel's Global Quantitative Strategies, you will conduct advanced research utilizing mathematical, statistical, and computational methods to develop predictive models and optimize multi-asset portfolios. The role demands a strong background in data analysis and a passion for financial markets to drive impactful research solutions.
Be an Early Applicant
As a Trading Strategist Analyst at J.P. Morgan, you will analyze data to uncover revenue opportunities, develop models for trading problems, back test trading strategies, assess trading performance, and improve trading software. You will work closely with the trading desk to drive revenue in commodities markets.
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.