Quant Research Intern: Turn Data into Risk Prices

Time Seventeen; Hong Kong; On-site; HKD 167,000 - 246,000; Full time

Job summary

Time Seventeen is seeking an internship for a quantitative student or recent graduate to join our research team in Hong Kong. You will work with researchers and engineers to turn questions into datasets, form testable hypotheses, and deliver analysis that can be reviewed by colleagues.

The role requires comfort with Python, NumPy, and pandas, plus a solid foundation in probability and statistics. Coursework or projects demonstrating practical data handling and clear uncertainty communication are

Qualifications

• Currently studying, or recently graduated in mathematics, statistics, computer science, physics, engineering, econometrics, quantitative finance, or a related quantitative discipline.
• Solid foundation in probability, statistics, linear algebra, and calculus with ability to explain analytical assumptions.
• Working proficiency in Python and experience with NumPy, pandas, and at least one statistical/modeling library.
• Familiarity with Git and reproducible notebooks or scripts.
• Understanding of hypothesis testing, regression, data leakage in time-dependent research.
• Interest in market microstructure, risk pricing, and geopolitical/catastrophe events.
• Clear written and spoken English with attention to detail.
• SQL, time-series analysis, Monte Carlo simulation, ML are helpful but not required.

Responsibilities

• Collect, clean, and align historical prices, event metadata, outcomes, and external datasets; document provenance and transformations.
• Formulate research hypotheses with explicit assumptions and clear evaluation criteria.
• Analyze calibration, forecast accuracy, dependence, and tail scenarios using appropriate statistical methods.
• Build reproducible Python research pipelines and backtests with proper data handling.
• Evaluate signals and index methods against costs, liquidity, and turnover; differentiate evidence from market performance.
• Run sensitivity analyses across time, parameters, and datasets; check robustness to outliers.
• Collaborate with engineering and market colleagues to validate data definitions and translate findings into tools.
• Write research notes and present methods, results, and limitations; maintain versioned code.
• Create candidate features using information available at observation time; account for selection bias.

Skills

Python programming

Statistics

Probability

Data analysis

English communication

Git

Team collaboration

Education

Mathematics/Statistics/CS degree

Tools

NumPy

pandas

Job description

Time Seventeen is seeking an internship for a quantitative student or recent graduate to join our research team in Hong Kong. You will work with researchers and engineers to turn questions into datasets, form testable hypotheses, and deliver analysis that can be reviewed by colleagues.

The role requires comfort with Python, NumPy, and pandas, plus a solid foundation in probability and statistics. Coursework or projects demonstrating practical data handling and clear uncertainty communication are