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Machine Learning Researcher – 2025 PhD Graduate (US)
Miami
Job Description
At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning and AI algorithms to modernize the quantitative trading industry. We’re looking for extraordinary and highly motivated researchers who are excited about solving challenging problems and iterating in a fast-paced environment.Your Objectives- Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
- Implement algorithms in high-quality code
- Work with large data sets, including unconventional and unstructured data sources
- Back-test models and document research findings
Your Skills & Talents- PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
- Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field
- Prior experience working in a data driven research environment. Detail oriented and can deep dive into the data.
- Hands on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++)
- A background demonstrating strong problem-solving skills
- An ability to communicate advanced concepts in a concise and logical way
- Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
Opportunities available in MiamiAbout Citadel Securities
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market’s most critical challenges, turning big ideas into real-world outcomes.
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