Graduate Quantitative Researcher - Finance ML & Mentorship

Jane Street SG; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Jane Street is seeking Quantitative Researchers to help build models, strategies, and systems for pricing and trading financial instruments. You’ll collaborate with researchers, engineers, and traders to train models, design experiments, generate datasets, and analyze time series data.

Strong Python programming skills and curiosity about learning new techniques are essential. PhD or research experience is a plus, with candidates often having background in data science or machine learning.

Qualifications

• Able to apply logical and mathematical thinking to all kinds of problems.
• Intellectually curious; eager to ask questions, admit mistakes, and learn new things.
• A strong programmer who’s comfortable with Python.
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise.
• Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn than what you currently know.
• PhD or other research experience is a plus.

Responsibilities

• Build models, strategies, and systems to price and trade financial instruments.
• Work side by side with researchers, engineers, and traders to train models and run trading strategies.
• Engage in experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.

Skills

Python programming

Data science / ML experience

Logical and mathematical thinking

Collaborative communication

Education

PhD or research experience

Job description

Jane Street is seeking Quantitative Researchers to help build models, strategies, and systems for pricing and trading financial instruments. You’ll collaborate with researchers, engineers, and traders to train models, design experiments, generate datasets, and analyze time series data.

Strong Python programming skills and curiosity about learning new techniques are essential. PhD or research experience is a plus, with candidates often having background in data science or machine learning.