Job Description At Citadel, our mission is to be the most successful investment team in the world. Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex datasets in the world. As an intern, you'll dive into research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship. Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application. Your Objectives - Use statistics, machine learning (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 datasets, 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 a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field - Hands on programming experience in Python or 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 Hong Kong and Singapore. We collect and use personal data in accordance with our Privacy Policy. We retain data on prospective candidates and may consider suitability for alternative opportunities at Citadel. For more information, see our Privacy Policy About Citadel Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

• Investigate and apply novel algorithms related to the generation and editing of video, sound, and 3D visual geometry. • Analyze and alleviate ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution. • Publish findings in a top-tier conference. • Implement innovative ideas using research, coding, and problem-solving skills with support from internal scientists and engineers.

Role Description You'll work directly on improving how Frontier AI handles corporate finance and gain rare, early exposure to how AI labs actually develop their models. As part of the project, you will contribute your deal experience to a structured research project, which will be used to help improve AI reasoning across investment banking and capital markets. The work involves: - Generating, refining, and evaluating content that reflects how senior IB professionals think through transactions from origination and pitching through execution and close. Qualifications - 3–7 years of experience in investment banking or capital markets at a bulge bracket or elite boutique (e.g., Goldman Sachs, Morgan Stanley, J.P. Morgan, Bank of America, Citi, Barclays, UBS, Deutsche Bank, Wells Fargo, Evercore, Moelis, Centerview, Lazard, Jefferies). - Associate, VP, or Director level across M&A, industry coverage, ECM/DCM, leverage finance, or syndicate. - Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running. - Strong financial modeling skills (incl. LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials (incl. pitch decks, market updates). - Ability to articulate investment banking judgment clearly and precisely in writing. Requirements - Commitment: 20+ hours/week, flexible scheduling. - Location: Fully remote. - Compensation: Competitive hourly rate, commensurate with experience. - Start date: Immediate / Rolling. - Referral bonus: For any successful referral hired into this role. How to apply - Apply using the link in the job post. - Our team will review the applications and reach back out. - One call to assess your fit and align expectations. - Once approved, we kick off the project.

• responsible for development and execution of the research strategy and overall management of the research portfolio for the Ultrasound AI Center of Excellence • lead a cross functional team to develop the research strategy • ensure the research portfolio supports the business focus • engage and support clinical and technical sites research in their studies • contribute in technical development to support research needs • collaborate with various stakeholders to develop comprehensive research strategies and plans • prioritize and resource allocation across the full research portfolio • seek out academic partners well-suited for a GEHC partnership • define product strategic research needs from business planning sessions • respond to and assess incoming research proposals • develop NPI specific evidence strategies and plans including evaluation plans • partner with the Research Program Integrator (RPI) to support execution on research studies • support utilization of research results and assess their impact