Quantitative Researcher - Internship [2027 Summer]

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• Internship [2027 Summer] Two Sigma Investments, LLC. New York, United States Apply now Save Posted 18 hours ago Internships & Graduate Trainee Competitive Quantitative Researcher
• Internship [2027 Summer] Two Sigma Investments, LLC. New York, United States Apply now Save Quantitative Researcher
• Internship [2027 Summer] Position Summary Two Sigma is a leading quantitative investment management and trading firm.

The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems. When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you'll be doing work that matters to a lot of people, too. Our investors include some of the world's largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we're proud to serve these organizations. You will take on the following responsibilities: Use the scientific method to develop sophisticated investment models and shape our insights into how the markets will behave Apply quantitative techniques like machine learning to a vast array of datasets Create and test complex investment ideas and partner with our engineers to test your theories All the while, you'll remain engaged in the academic community. As examples, you can: Join our reading circles to stay up to date on the latest research papers in your fields Attend academic seminars to learn from thought leaders from top universities The internship program lasts 10 weeks in the summer and takes place at our Soho-based, New York City office. You will partner with an assigned mentor and work on a single project during the course of your time here, which will culminate in a final presentation at the conclusion of the program. You should possess the following qualifications: Are pursuing a degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science with approximately one year remaining in your programs (all levels welcome, from bachelor's to doctorate) Demonstrate intermediate skills in at least one programming language (like C, C++, Java, or Python) Performed an in-depth research project, examining real-world data Are an independent thinker who can creatively approach data analysis and communicate complex ideas clearly You don't need a background in finance. It's nice to have, but more than half of Two Sigma's employees come from outside the finance industry. If you've got the quantitative skills, we can teach you the financial aspects of the job. You will enjoy the following benefits:

Perks:

Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms

Hybrid Work Policy:

Flexible in-office days with budget for home office setup The weekly base pay for this role will be between $4,900/Week (Bachelors), $5,000/Week (Masters) and $5,500/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and/or benefits. We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws. If you believe you need an accommodation, please visit our website for additional information. Job

ID 13945

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