Machine Learning Researcher

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking an ML researcher to join their dynamic research team. This role blends trading and software engineering, focusing on building models and strategies for financial instruments. You'll analyze large datasets, develop and test models, and implement new trading strategies. The ideal candidate will have deep ML expertise, a passion for experimentation, and strong communication skills to convey complex ideas effectively. Join a forward-thinking company where your contributions will shape the future of machine learning in trading, and be part of a collaborative environment that encourages growth and innovation.

Qualifications

• Deep understanding of machine learning techniques and their applications.
• Experience in analyzing large datasets and building robust models.

Responsibilities

• Build models and strategies for pricing and trading financial instruments.
• Analyze datasets and implement new trading strategies.

Skills

Machine Learning Techniques

Data Analysis

Model Building

Communication Skills

Education

PhD in Machine Learning or related field

Master's in Computer Science or related field

Tools

Python

TensorFlow

PyTorch

Job description

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Job Description

is a critical pillar of Jane Street's global business, and our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation.

Researchers at Jane Street are responsible for building models, strategies, and systems that price and trade a variety of financial instruments. As a mix of the trading and software engineering roles, this work involves many things: analyzing large datasets, building and testing models, creating new trading strategies, and writing the code that implements them.

We’re looking for people to join the research team with deep ML experience in either an applied or academic context. A good candidate should have a deep understanding of a wide variety of ML techniques, and a passion for tinkering with model architectures, feature transformations, and hyperparameters to generate robust inferences. We also want people who are good communicators, with the ability to quickly absorb the context of a new problem, carefully consider tradeoffs, and recommend possible solutions.

As an ML researcher, your expertise will also shape the firm's future ML developments including hiring new ML researchers, attending conferences, teaching techniques to teammates, and setting firmwide goals.