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Quantitative Researcher: Machine Learning
Company | Two Sigma |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-08-28 |
Posted at | 9 months ago |
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
- Share insights from conferences focused on statistics, machine learning, and data science
- Create and test complex investment ideas, use the latest machine learning tools, write code and partner with our engineers to test your hypotheses
- Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave
- Attend academic seminars to learn from thought leaders from top universities
- Join our reading circles to stay up to date on the latest research papers in your field
- Apply machine learning to a vast array of datasets
- Published your work in journals and/or have presented at conferences
- Experience with applied machine learning to real-world datasets at scale
- Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
- Strong skills in at least one programming language (like C, C++, Java, or Python)
- Understanding of the ins and outs of machine learning algorithms—and can tweak them as needed
- Hybrid Work Policy: Flexible in-office days with budget for home office setup
- Learning: Tuition reimbursement, conference and training sponsorship
- Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
- Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
- Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
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