Quantitative Researcher: ML-Driven Trading Models

Trading Interview; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Jane Street is seeking quantitative researchers to build models, strategies, and systems for pricing and trading financial instruments. You will apply experiment design, dataset generation, time series analysis, feature engineering, and model building to financial data, while collaborating with colleagues across research, engineering, and trading.

You should be inherently curious, capable of rigorous mathematical thinking, and a strong Python programmer who communicates precisely and works well

Qualifications

• Strong background in data science or machine learning.
• Experience with experiment design and dataset generation.
• Proficiency in time series analysis and feature engineering.

Responsibilities

• Price and trade financial instruments using quantitative models.
• Design experiments, generate datasets, and analyze model performance.
• Collaborate with researchers, engineers, and traders to deploy trading strategies.

Skills

Logical thinking

Mathematical thinking

Python programming

Collaborative communicator

Education

PhD or research experience

Tools

Python

Job description

Jane Street is seeking quantitative researchers to build models, strategies, and systems for pricing and trading financial instruments. You will apply experiment design, dataset generation, time series analysis, feature engineering, and model building to financial data, while collaborating with colleagues across research, engineering, and trading.

You should be inherently curious, capable of rigorous mathematical thinking, and a strong Python programmer who communicates precisely and works well