Financial Quantitative Researcher
5 days ago
MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.
You will be joining MS Capital's technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities including the Tsinghua University, National University of Singapore, Nanyang Technological University, Peking University, the Hong Kong University of Science and Technology, and other internationally renowned artificial intelligence academic institutions. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable trading services.
Responsibilities:
Utilize large model technologies and foundational data to research and implement end-to-end financial quantitative strategies.
Apply large model technologies and basic machine learning models to optimize the functionality and performance of quantitative research platforms.
Conduct in-depth analysis of quantitative strategy research outcomes, propose improvement plans, and implement optimizations.
Qualifications:
Educational background in Finance, Statistics, Computer Science, Mathematics, or related fields with a Bachelor's degree or higher.
Strong understanding of statistical principles and their application to financial data analysis.
Familiarity with core financial concepts such as asset pricing models, three-factor models, and asset allocation models.
Experience in applying large models (e.g., ChatGPT, Transformer) to practical problems.
Proficient in Python or other mainstream programming languages with solid programming skills.
Understanding of basic machine learning models, including the ability to construct and optimize models.
Experience with large financial models.
Background in financial statistics and related knowledge.
Seniority Level:
Associate
Employment Type:
Full-time
Job Function:
Finance
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