Data Science Focused Quant Researcher
at TECHNOLOGY SERVICES GROUP PTE LTD
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 29 Jul, 2024 | USD 7000 Monthly | 01 May, 2024 | N/A | Convex Optimization,Statistics,Deep Learning,Financial Engineering,Mathematics,Computer Science,Algorithms,Physics,Publications,Learning Techniques,Natural Language Processing,Machine Learning,Programming Languages | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
We are a leading AI-driven quantitative fund seeking to strengthen our systematic team with a Data Science Focused Quant Researcher. This role involves leveraging advanced data science and machine learning capabilities to innovate and refine trading strategies within the financial markets.
REQUIREMENTS:
- Advanced degree (Master’s/PhD) in Mathematics, Physics, Financial Engineering, Computer Science, or Statistics, with a strong focus on Machine Learning.
- Proven experience handling large datasets and applying machine learning techniques to real-world problems.
- Expertise in areas such as deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, natural language processing, or approximate inference.
- Publications in top-tier conferences like NeurIPS, ICML, ICLR, etc., are highly preferred.
- Proficiency in high-performance programming languages, ideally C++ or similar.
- Demonstrated excellence in quantitative analysis or competitions (e.g., Kaggle, hackathons, mathematical olympiads).
- Practical experience in implementing machine learning algorithms in a professional setting.
- Open to candidates transitioning from tech to finance, or current finance professionals with a strong machine learning background.
Responsibilities:
- Collaborate with Portfolio Managers and other AI specialists to conduct robust quantitative research. This includes developing, testing, and deploying various machine learning and statistical models.
- Employ sophisticated data science techniques to extract actionable insights from vast and diverse datasets, integrating these insights into financial models.
- Utilize scientific methods to create advanced trading models, contributing to predictive analytics regarding market movements.
- Implement machine learning algorithms across extensive datasets to enhance model effectiveness and financial strategies.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Mathematics physics financial engineering computer science or statistics with a strong focus on machine learning
Proficient
1
Singapore, Singapore