DescriptionJob responsibilities
- Research and develop novel alpha signals using traditional and alternative data sources to enhance return forecasting models.
- Improve return forecasting models and portfolio construction frameworks for global equity markets applying reinforcement learning and advanced machine learning techniques.
- Apply statistical econometric and machine learning methods to large complex datasets to extract actionable insights.
- Collaborate with technology teams to integrate research models into production systems and ensure robust implementation.
- Partner with portfolio managers and stakeholders to translate quantitative research into investment decisions.
- Stay current with academic and industry developments in quantitative finance machine learning and data science.
- Present complex research findings clearly to both technical and non-technical audiences.
- Contribute to a collaborative team environment and support continuous learning and innovation.
Required qualifications capabilities and skills
- PhD in machine learning computer science statistics or a related quantitative discipline; specialization in reinforcement learning highly desirable.
- 03 years of experience in quantitative research data science or a related field (industry or academic).
- Strong programming skills in Python and experience with machine learning libraries.
- Familiarity with quantitative modeling portfolio construction and equity markets.
- Experience working with large complex and alternative datasets.
- Excellent verbal and written communication skills with the ability to present complex ideas to technical and non-technical audiences.
- Demonstrated ability to work effectively in a team environment.
- Strong problem-solving skills intellectual curiosity and ability to drive research projects independently.
Preferred qualifications capabilities and skills
- Experience integrating research models into production investment systems.
- Background in developing and implementing reinforcement learning techniques in finance.
- Experience collaborating with portfolio managers and technologists.
- Track record of publishing or presenting research in quantitative finance or machine learning.
Required Experience:
IC
DescriptionJob responsibilitiesResearch and develop novel alpha signals using traditional and alternative data sources to enhance return forecasting models.Improve return forecasting models and portfolio construction frameworks for global equity markets applying reinforcement learning and advanced m...
DescriptionJob responsibilities
- Research and develop novel alpha signals using traditional and alternative data sources to enhance return forecasting models.
- Improve return forecasting models and portfolio construction frameworks for global equity markets applying reinforcement learning and advanced machine learning techniques.
- Apply statistical econometric and machine learning methods to large complex datasets to extract actionable insights.
- Collaborate with technology teams to integrate research models into production systems and ensure robust implementation.
- Partner with portfolio managers and stakeholders to translate quantitative research into investment decisions.
- Stay current with academic and industry developments in quantitative finance machine learning and data science.
- Present complex research findings clearly to both technical and non-technical audiences.
- Contribute to a collaborative team environment and support continuous learning and innovation.
Required qualifications capabilities and skills
- PhD in machine learning computer science statistics or a related quantitative discipline; specialization in reinforcement learning highly desirable.
- 03 years of experience in quantitative research data science or a related field (industry or academic).
- Strong programming skills in Python and experience with machine learning libraries.
- Familiarity with quantitative modeling portfolio construction and equity markets.
- Experience working with large complex and alternative datasets.
- Excellent verbal and written communication skills with the ability to present complex ideas to technical and non-technical audiences.
- Demonstrated ability to work effectively in a team environment.
- Strong problem-solving skills intellectual curiosity and ability to drive research projects independently.
Preferred qualifications capabilities and skills
- Experience integrating research models into production investment systems.
- Background in developing and implementing reinforcement learning techniques in finance.
- Experience collaborating with portfolio managers and technologists.
- Track record of publishing or presenting research in quantitative finance or machine learning.
Required Experience:
IC
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