Quantitative Researcher
Job Title: Quantitative Researcher
Location: Fully Remote or Hong Kong
Job Type: Full-time
Job Description:
We are seeking an experienced Quantitative Researcher to join our team. The ideal candidate will possess a Ph.D. in a quantitative field and have at least three years of relevant experience, with a strong focus on econometrics and top-down portfolio construction research.
Responsibilities:
Location: Fully Remote or Hong Kong
Job Type: Full-time
Job Description:
We are seeking an experienced Quantitative Researcher to join our team. The ideal candidate will possess a Ph.D. in a quantitative field and have at least three years of relevant experience, with a strong focus on econometrics and top-down portfolio construction research.
Responsibilities:
- Conduct quantitative research and analysis on financial markets and investment strategies.
- Develop econometric models and statistical analysis tools to support portfolio construction and optimization.
- Research market trends and investment opportunities to identify new investment strategies.
- Design and backtest quantitative investment models to evaluate performance and identify areas for improvement.
- Collaborate closely with team members to develop and refine investment strategies.
- Conduct independent research projects and publish findings in academic journals.
- Ph.D. in a quantitative field (e.g., finance, economics, statistics, mathematics, physics, engineering).
- At least three years of relevant experience in quantitative research, preferably in finance or a related field.
- Strong knowledge of econometrics and statistical analysis, with experience in top-down portfolio construction research.
- Excellent programming skills, with experience in languages such as Python, R, and MATLAB.
- Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences.
- Demonstrated ability to conduct independent research and publish findings in academic journals.
Data Scientist
Job Title: Data Scientist
Location: Fully Remote or Hong Kong
Job Type: Full-time
Job Description:
We are seeking a skilled Data Scientist to join our innovative team. The ideal candidate will have a strong background in data science, with a focus on applying machine learning and statistical techniques to solve complex business problems.
Responsibilities:
Location: Fully Remote or Hong Kong
Job Type: Full-time
Job Description:
We are seeking a skilled Data Scientist to join our innovative team. The ideal candidate will have a strong background in data science, with a focus on applying machine learning and statistical techniques to solve complex business problems.
Responsibilities:
- Analyze large datasets to extract actionable insights and identify trends.
- Develop and implement machine learning models to support various business objectives.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Create and maintain data pipelines and workflows to ensure efficient data processing.
- Conduct experiments and perform hypothesis testing to validate models and improve their accuracy.
- Communicate findings and insights effectively to both technical and non-technical stakeholders.
- Stay current with the latest advancements in data science and machine learning technologies.
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- At least three years of relevant experience in data science or a related field.
- Proficiency in programming languages such as Python, R, and SQL.
- Strong knowledge of machine learning algorithms and statistical methods.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively.
- Strong communication skills, with the ability to present complex ideas to diverse audiences.
- Experience with cloud platforms such as AWS, GCP, or Azure is a plus.
Data Science and Quantitative Research Intern
Job Title: Data Science and Quantitative Research Intern
Location: Fully Remote
Job Type: Internship
Job Description:
We are looking for a motivated Data Science and Quantitative Research Intern to join our team remotely. This is an excellent opportunity for a student or recent graduate to gain hands-on experience in both data science and quantitative research within the financial industry.
Responsibilities:
Location: Fully Remote
Job Type: Internship
Job Description:
We are looking for a motivated Data Science and Quantitative Research Intern to join our team remotely. This is an excellent opportunity for a student or recent graduate to gain hands-on experience in both data science and quantitative research within the financial industry.
Responsibilities:
- Assist in conducting quantitative research and analysis on financial markets and investment strategies.
- Help develop econometric models and statistical analysis tools to support portfolio construction and optimization.
- Analyze large datasets to extract actionable insights and identify trends.
- Support the development and implementation of machine learning models for various business objectives.
- Collaborate with team members to understand business requirements and contribute to data-driven solutions.
- Participate in designing and backtesting quantitative investment models.
- Conduct independent research projects under the guidance of senior researchers.
- Assist in creating and maintaining data pipelines and workflows for efficient data processing.
- Communicate findings and insights effectively to both technical and non-technical stakeholders.
- Currently pursuing or recently completed a degree in Data Science, Finance, Economics, Statistics, Mathematics, Computer Science, or a related field.
- Strong programming skills in languages such as Python, R, and SQL.
- Basic understanding of machine learning algorithms and statistical methods.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively.
- Strong communication skills, with the ability to present complex ideas to diverse audiences.
- Enthusiasm for learning and staying current with advancements in data science and quantitative research.