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Quantitative Researcher at Jane Street | London

Jane StreetLondon, England, United Kingdom
On-site Full-time

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Experience Level

Entry Level

Qualifications

Who You Are If you're contemplating a career in finance for the first time, you're not alone—many of our current team members share that background. If you possess a curious mindset and a passion for tackling intriguing challenges, we believe you'll thrive here. The ideal candidate will: Exhibit logical and mathematical reasoning across various problems Demonstrate intellectual curiosity; eager to ask questions, acknowledge mistakes, and embrace new learning opportunities Be a proficient programmer experienced with Python Possess open-minded thinking and excellent communication skills, with a preference for collaboration across diverse teams Fluent in English While experience in data science or machine learning is advantageous, we are primarily focused on your thought process and learning capacity rather than current knowledge. A PhD or research experience will be considered a plus.

About the job

About the Role

Jane Street is seeking enthusiastic Quantitative Researchers to join our dynamic team. In this role, you will collaborate closely with seasoned researchers to develop sophisticated models, strategies, and systems aimed at pricing and trading financial instruments. You will gain valuable insights into experiment design, dataset generation, time series analysis, feature engineering, and model building tailored for financial datasets.

Our unique environment fosters collaboration between researchers, engineers, and traders, allowing for seamless interaction as we train models, architect systems, and execute trading strategies. With access to petabytes of data, a robust computing cluster featuring hundreds of thousands of cores, and an expanding GPU cluster housing tens of thousands of high-performance GPUs, you will engage in a wide range of activities—from analyzing market data and optimizing hyperparameters to debugging distributed training performance and evaluating our models' trading behavior in real-time.

At Jane Street, we embrace diverse modeling approaches, prioritizing the application of various statistical and machine learning techniques, from linear models to deep learning, depending on the challenge at hand. Our most successful researchers possess a keen curiosity about how their contributions integrate into our broader trading operations and how to translate their findings into actionable strategies.

About Jane Street

Jane Street is a leading quantitative trading firm and liquidity provider, utilizing advanced technology and data analysis to navigate financial markets. Our collaborative environment nurtures innovation and allows our team members to work closely together, driving impactful results in trading strategies.

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