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 - Current MBA candidate at IE with prior (pre-MBA) 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). - Analyst or Associate level (pre-MBA). - Solid expertise in at least one of the following: - M&A deal structuring and valuation - Equity or debt capital markets execution - Sector-specific coverage - 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 - Location: Fully remote - Compensation: Competitive hourly rate, commensurate with experience - Start date: Immediate - Referral bonus: For any successful referral hired into this role

• Scoping vague but important questions around AI x Animals — choosing the right depth, angle, and methodology for each, from literature reviews to modelling, data analysis, or expert interviews. • Conducting independent research on complex questions, addressing uncertainty and competing perspectives explicitly. • Engaging external stakeholders to understand their needs and shape deliverables to their specifications. • Producing decision-useful outputs from inception to delivery, in the best-fit format (report, model, dashboard), translated into practical recommendations for decision-makers. • Managing projects end to end — keeping them on track, reporting progress, and proactively identifying mitigations when barriers arise. The balance of these responsibilities, and the autonomy you'll have, depends on the level you're hired at. At the Senior Researcher level, you will own these responsibilities at higher autonomy and help co-create the overall research strategy for the program. You will also build and steward more external relationships with funders, advocates, and field experts.

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 data sets in the world. 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 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 a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field - Prior experience working in a data driven detailed research environment - 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 Singapore and Hong Kong. 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.

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.