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MS Capital is a private fund management company with a strong founding team of long-accumulated experience in strategy modelling, trading system and platform development, adopting advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, to achieve sustained and stable returns. We are expending the team, searching for experienced candidates have strong background & skills in programing, statistics modelling, data analysis, etc.
Roles & Responsibilities:
. Research and develop international market, secondary market trading and investment strategies
. Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration
. Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models
Qualifications
. Bachelor's degree or above in finance, mathematics / statistics, physics, computer science, engineering or related field
. Familiar with Python / C++ or other high-level programing languages
. Strong communication skills and learning ability.
. Experience in quantitative research, through industry internships, academic, or personal projects.
Plus Points:
. Experienced in using big data to predict and test statistical market models
. Experienced in AI / ML research for quantitative analysis
. Experienced in competitions such as Kaggle, ILSVRC, and other internationally recognised competitions including IMO, IOI, IPhO, etc.
Interested applicants please apply directly here or send your resume to [Confidential Information]
Job ID: 152028373
Skills:
Unix, Machine Learning, Artificial Intelligence, Python, Statistics, linear algebra
Skills:
production deployment , Python, Data exploration, Validation, statistical arbitrage, backtesting, Feature engineering
Skills:
Java, Machine Learning, C, Natural Language Processing, Python, Tick-Level Data Analysis, Automated Trading Strategy Development, trading technology, High-Performance Computing, Quantitative Research
Skills:
Numpy, Pandas, Python, Statistical Analysis, probability theory, scikit-learn, Regression, Jupyter, Mathematical Modeling, quantitative finance
Skills:
probability , Time Series Analysis, Python, Physics, Execution strategies, Computer Science, Mathematics, Statistics, Signal generation, Low-latency systems, Real-time data processing, market microstructure