Quantitative Researcher

Hong Kong, Hong Kong·Quantitative Research·other
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<h3>About the Position</h3> <p style=&quot;margin: 0px;&quot;>We are looking for Quantitative Researchers to help us build models, strategies and systems that price and trade financial instruments. You&#39;ll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.</p> <p style=&quot;margin: 0px;&quot;><br>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 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.</p> <p style=&quot;margin: 0px;&quot;>&nbsp;</p> <p style=&quot;margin: 0px;&quot;>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 machine learning 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.</p> <h3>About You</h3> <p>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:</p> <ul> <li>Able to apply logical and mathematical thinking to all kinds of problems</li> <li>Intellectually curious; eager to ask questions, admit mistakes and learn new things</li> <li>A strong programmer who’s comfortable with Python</li> <li>An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise</li> <li>Fluent in English</li> </ul> <p><em>If you&#39;re a recruiting agency and want to partner with us, please reach out to&nbsp;</em><a href=&quot;mailto:[email protected]&quot;><em>[email protected]</em></a><em>.</em></p>

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