We are seeking two highly analytical recent graduates to join our Shanghai office as Quantitative Research Analysts. This role is suited to individuals with a strong interest in systematic trading data-driven research and equity markets.
You will work closely with our Research Team to design test and refine quantitative trading signals that seek to predict relative stock movements. You will be using our proprietary high level modelling language to create mathematical expressions that turn data into forecasts. Research spans forecast horizons from intraday signals to multi-month models.
Applicants must demonstrate strong quantitative reasoning problem solving and formalization skills. While prior professional experience in finance is not required candidates should be comfortable working with data applying statistical techniques and thinking critically about model robustness and overfitting. Experience with Python or another programming language and an interest in finance and markets are highly desirable.
This role is designed for early-career researchers who are motivated to build a long-term career in systematic trading. Prior knowledge of financial markets is not essential but intellectual curiosity about how markets function and a genuine interest in quantitative research are important.
Key Responsibilities
- Explore a broad universe of structured and unconventional datasets to identify patterns with predictive power across equity markets.
- Evaluate new datasets for relevance and assess their incremental alpha contribution to existing portfolios.
- Formulate research hypotheses to develop new quantitative trading signals across forecast horizons ranging from intraday to multi-month.
- Review stress-test and enhance existing signals to improve robustness stability and risk-adjusted performance across different market regimes.
- Collaborate with technology and data teams to ensure appropriate integration validation and maintenance of research datasets.
- Propose and develop new analytical tools testing frameworks and research methodologies to improve efficiency and research quality across the team.
- Contribute to shared research infrastructure documentation and best practices to enhance the overall research capability of the team.
Skills Knowledge and Expertise
Essential
- BSc/BA (Hons) MEng MFE MS or Phd in a highly quantitative discipline such as Mathematics Statistics Physics Computer Science Engineering Financial Engineering or a related STEM subject. Strong academic records are preferred.
- Demonstrated strength in quantitative reasoning probability statistics and logical problem-solving.
- Programming skills (e.g. Python or similar).
- Ability to interpret statistical results critically and assess model robustness.
- Strong written and spoken English with the ability to clearly communicate technical concepts.
Beneficial
- Experience working in a data-driven research or analytical environment (academic or professional).
- Understanding of practical considerations in quantitative investing including portfolio construction risk management and alpha combination.
- Exposure to alternative or unconventional datasets and the ability to use them creatively to generate research insights.
- Courses in linear algebra advanced statistics and Machine Learning are a plus.
Benefits
Systematica Investments provides you with excellent benefits from day 1. We provide private medical insurance for you and your immediate family. We offer competitive salaries combined with an annual bonus in line with industry practice plus free drinks and snacks at the office.
We are an equal opportunity employer and value diversity at our company.
Required Experience:
Junior IC
We are seeking two highly analytical recent graduates to join our Shanghai office as Quantitative Research Analysts. This role is suited to individuals with a strong interest in systematic trading data-driven research and equity markets. You will work closely with our Research Team to design test an...
We are seeking two highly analytical recent graduates to join our Shanghai office as Quantitative Research Analysts. This role is suited to individuals with a strong interest in systematic trading data-driven research and equity markets.
You will work closely with our Research Team to design test and refine quantitative trading signals that seek to predict relative stock movements. You will be using our proprietary high level modelling language to create mathematical expressions that turn data into forecasts. Research spans forecast horizons from intraday signals to multi-month models.
Applicants must demonstrate strong quantitative reasoning problem solving and formalization skills. While prior professional experience in finance is not required candidates should be comfortable working with data applying statistical techniques and thinking critically about model robustness and overfitting. Experience with Python or another programming language and an interest in finance and markets are highly desirable.
This role is designed for early-career researchers who are motivated to build a long-term career in systematic trading. Prior knowledge of financial markets is not essential but intellectual curiosity about how markets function and a genuine interest in quantitative research are important.
Key Responsibilities
- Explore a broad universe of structured and unconventional datasets to identify patterns with predictive power across equity markets.
- Evaluate new datasets for relevance and assess their incremental alpha contribution to existing portfolios.
- Formulate research hypotheses to develop new quantitative trading signals across forecast horizons ranging from intraday to multi-month.
- Review stress-test and enhance existing signals to improve robustness stability and risk-adjusted performance across different market regimes.
- Collaborate with technology and data teams to ensure appropriate integration validation and maintenance of research datasets.
- Propose and develop new analytical tools testing frameworks and research methodologies to improve efficiency and research quality across the team.
- Contribute to shared research infrastructure documentation and best practices to enhance the overall research capability of the team.
Skills Knowledge and Expertise
Essential
- BSc/BA (Hons) MEng MFE MS or Phd in a highly quantitative discipline such as Mathematics Statistics Physics Computer Science Engineering Financial Engineering or a related STEM subject. Strong academic records are preferred.
- Demonstrated strength in quantitative reasoning probability statistics and logical problem-solving.
- Programming skills (e.g. Python or similar).
- Ability to interpret statistical results critically and assess model robustness.
- Strong written and spoken English with the ability to clearly communicate technical concepts.
Beneficial
- Experience working in a data-driven research or analytical environment (academic or professional).
- Understanding of practical considerations in quantitative investing including portfolio construction risk management and alpha combination.
- Exposure to alternative or unconventional datasets and the ability to use them creatively to generate research insights.
- Courses in linear algebra advanced statistics and Machine Learning are a plus.
Benefits
Systematica Investments provides you with excellent benefits from day 1. We provide private medical insurance for you and your immediate family. We offer competitive salaries combined with an annual bonus in line with industry practice plus free drinks and snacks at the office.
We are an equal opportunity employer and value diversity at our company.
Required Experience:
Junior IC
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