About Us Mentis AI works at the intersection of institutional finance expertise and frontier AI systems. Our team combines deep financial services experience (Lazard, Partners Group) with machine learning and applied AI research. Operating across London and San Francisco, we collaborate with leading AI labs to improve how models reason, generalize, and make decisions in high-stakes financial contexts. The Opportunity This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI system. You will: - Prompt: Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights. - Compare human vs. machine judgment: Systematically evaluate divergence between professional banking judgment and AI outputs across M&A, ECM, DCM, and leveraged finance contexts. - Design frameworks: Translate how senior bankers evaluate transactions, structure deals, and advise clients through origination, execution, and close into problems that push the limits of AI reasoning. - Construct expert benchmarks: Build and validate real-world transaction analyses, valuation frameworks, and deal materials used to evaluate frontier AI systems Why This Experience Is Valuable - Hands-on exposure to how AI is reshaping deal workflows, from pitching and origination through financial modeling, fairness opinions, and transaction close. - You will be among the first investment banking professionals to work directly on how frontier AI models reason about transaction structuring, valuation, and capital markets execution. Who You Are - 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, leveraged 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 (including LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials - Ability to articulate investment banking judgment clearly and precisely in writing - Genuine intellectual curiosity about the application of AI in financial services Residency Structure - Commitment: 15+ hours/week, flexible scheduling - Location: Remote globally, or in-person if based in London - Compensation: Hourly rate depending on experience - Start date: Immediate / Rolling

About Us Mentis AI works at the intersection of institutional finance expertise and frontier AI systems. Our team combines deep financial services experience (Lazard, Partners Group) with machine learning and applied AI research. Operating across London and San Francisco, we collaborate with leading AI labs to improve how models reason, generalize, and make decisions in high-stakes financial contexts. The Opportunity This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI system. You will: - Prompt: Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights. - Compare human vs. machine judgment: Systematically evaluate divergence between professional banking judgment and AI outputs across M&A, ECM, DCM, and leveraged finance contexts. - Design frameworks: Translate how senior bankers evaluate transactions, structure deals, and advise clients through origination, execution, and close into problems that push the limits of AI reasoning. - Construct expert benchmarks: Build and validate real-world transaction analyses, valuation frameworks, and deal materials used to evaluate frontier AI systems Why This Experience Is Valuable - Hands-on exposure to how AI is reshaping deal workflows, from pitching and origination through financial modeling, fairness opinions, and transaction close. - You will be among the first investment banking professionals to work directly on how frontier AI models reason about transaction structuring, valuation, and capital markets execution. Who You Are - 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, leveraged 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 (including LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials - Ability to articulate investment banking judgment clearly and precisely in writing - Genuine intellectual curiosity about the application of AI in financial services Residency Structure - Commitment: 15+ hours/week, flexible scheduling - Location: Remote globally - Compensation: Hourly rate depending on experience - Start date: Immediate / Rolling

• Delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes • Work as part of a team and be individually responsible for the delivery of value associated with your projects • Follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring • Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases • Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work • Prepare your final trained model and develop a validation test set for QA • Work with ML Ops/Production operations to deploy your model into production and support them in monitoring model performance • Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform • Participate in other data science initiatives, collaborating with your peers to support their projects • Participate in knowledge sharing sessions to bring new insights and technologies to the team • Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption

Role Description - Author original computer science questions that test deep conceptual understanding, not surface-level recall. - Ensure questions are unambiguous, self-contained, and precisely defined with all necessary information in the problem statement. - Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above). - Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers. - Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format. - Supply 1–5 academic references per question from reputable sources like peer-reviewed journals or university repositories. - For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made. Qualifications - Must-Have: PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field. - Master's degree considered for candidates with exceptional depth in a specific subdomain. - Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning. - Excellent written English and ability to express complex ideas clearly and concisely. - Preferred: Research publications, industry experience at top tech companies, or competitive programming background. Requirements - Contract position. - Compensation: $35–$75/hour. - Location: Remote. - Commitment: 10+ hours/week. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.