Quantitative Researcher

Jane Street

London, United Kingdom

On-site

Who this role is best for

Best suited to candidates with strong programming and analytical skills working in financial trading environments.

Best fit for

Individuals with a background in data science or machine learning and a curiosity for financial systems
— “If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in.”
Candidates who can adapt to a variety of modeling techniques and enjoy working closely with traders and engineers
— “We are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.”

Things to consider

Candidates must be fluent in English and able to communicate precisely with diverse teams
— “Fluent in English”
The role may require frequent in-person collaboration given the proximity of research, engineering, and trading teams
— “our researchers, engineers, and traders sit a few feet away from each other and work together”

How to stand out

Highlight experience with Python and demonstrate adaptability across statistical and ML techniques
— “a strong programmer who’s comfortable with Python”
Showcase curiosity and willingness to learn, especially in financial modeling contexts
— “If you’ve never thought about a career in finance, you’re in good company.”
Emphasize collaboration and communication skills in your resume and interview responses
— “open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise”
Demonstrate your ability to work with large-scale data and distributed systems
— “We work with petabytes of data, a computing cluster with hundreds of thousands of cores”
Show interest in how models integrate into real-world trading strategies
— “curiosity for how their contributions fit into the larger picture of our trading operations”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · IndustryLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

building models, strategies, and systems that price and trade financial instruments
working with petabytes of data
tuning hyperparameters

Typical background

financedata sciencemachine learning

Skills & requirements

Required

Data ScienceMachine LearningModel BuildingTime Series AnalysisFeature Engineering

Preferred

PhdResearch Experience

Stack & domain

PythonCommunicationFinanceQuantitative Research

About the role

Original posting from Jane Street

About the Position
We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.
At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production.
We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.
About You
If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:
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
Fluent in English
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.
If you’d like to learn more, you can read about our interview process and meet some of the team.

Source: Jane Street careers