Asset Management Professionals - AI Residency (Part-time) | Frontier AI Research
Job Overview
Location
UK
Job Type
Contract
Category
Data Scientist
Date Posted
February 25, 2026
Full Job Description
đź“‹ Description
- • Join Mentis AI, a pioneering firm operating at the dynamic intersection of institutional investment expertise and cutting-edge frontier AI systems. Our distinguished team comprises seasoned professionals with extensive backgrounds in asset management from prestigious firms like Lazard and Partners Group, complemented by deep knowledge in machine learning and applied AI research. With operations spanning London and San Francisco, we are dedicated to collaborating with leading AI laboratories to fundamentally enhance how artificial intelligence reasons, generalizes, and makes critical decisions within high-stakes financial environments.
- • This unique part-time AI Residency is meticulously crafted for senior research analysts and portfolio managers who are eager to gain early, practical, and in-depth exposure to the development, evaluation, and refinement of advanced AI systems specifically tailored for long-only fundamental investing workflows.
- • As an AI Residency participant, you will play a pivotal role in shaping the future of AI in finance by undertaking several key responsibilities:
- • Constructing Expert Benchmarks: You will be instrumental in building and rigorously validating real-world investment cases, comprehensive securities analyses, and sophisticated portfolio management frameworks. These benchmarks will serve as the gold standard for evaluating the performance and capabilities of frontier AI systems in practical investment scenarios.
- • Stress-Testing Model Reasoning: A crucial aspect of your role will involve diagnosing and identifying weaknesses within AI-generated investment analyses. This includes pinpointing where AI models might falter in their logic, make flawed assumptions, or lack the nuanced market intuition essential for sound investment decisions.
- • Designing Advanced Frameworks: You will translate the complex methodologies used by institutional investors for securities evaluation, portfolio construction, and risk management into well-defined problems. These frameworks will be designed to challenge and push the boundaries of AI reasoning capabilities, driving innovation in AI model development.
- • Comparing Human vs. Machine Judgment: You will systematically evaluate and quantify the divergences between professional investment reasoning and AI-generated outputs. This comparative analysis will span across various asset classes, including equities, fixed income, and multi-asset contexts, providing invaluable insights into the strengths and limitations of AI in financial decision-making.
- • This residency offers an unparalleled opportunity to distinguish yourself professionally. You will be among the very first institutional investment professionals to work directly on how frontier AI models grapple with the complexities of public markets and sophisticated portfolio management strategies. This experience will forge a distinctive profile for individuals aspiring to operate at the nexus of investing and artificial intelligence, whether that involves joining a leading asset manager, contributing to an innovative AI company, or embarking on your own entrepreneurial venture.
- • Gain hands-on, practical exposure to the transformative impact AI is having across the entire investment value chain. This includes understanding how AI is reshaping fundamental research processes, optimizing portfolio construction techniques, enhancing client communication strategies, and revolutionizing risk attribution methodologies.
- • You will contribute to building the next generation of AI tools that augment human expertise, enabling more informed, efficient, and robust investment decision-making. This role is ideal for those who possess a profound intellectual curiosity about the application of AI in institutional finance and are keen to be at the forefront of this technological revolution.
- • The residency is structured to accommodate experienced professionals, offering a commitment of 15+ hours per week with flexible scheduling to ensure minimal disruption to your existing commitments. The engagement is compensated, reflecting the high value of your expertise and contribution. This is a unique chance to leverage your deep investment knowledge to shape the future of AI in finance, working alongside a team of leading experts in both fields.
🎯 Requirements
- • Minimum of 4 years of experience at a major long-only institutional asset manager (e.g., BlackRock, Vanguard, Fidelity, Capital Group, T. Rowe Price, Wellington, PIMCO, MFS, Neuberger Berman, Jennison, Artisan Partners).
- • Currently hold or have held a Senior Research Analyst or Portfolio Manager position.
- • Possess deep expertise in at least one of the following areas: equities, fixed income, or multi-asset portfolio management.
- • Proven experience in conducting thorough fundamental analysis, crafting insightful investment commentary, and engaging directly with company management or issuers.
- • Familiarity with the practical application of client reporting, risk attribution methodologies, and adherence to investment policy constraints.
- • Demonstrable genuine intellectual curiosity and a proactive interest in the application of Artificial Intelligence within the institutional finance sector.
🏖️ Benefits
- • Paid professional engagement, reflecting the value of your expertise and contribution.
- • Flexible scheduling with a commitment of 15+ hours per week, allowing for work-life balance.
- • Global remote work options, with the possibility of in-person collaboration if based in London or San Francisco.
- • Gain early, practical exposure to frontier AI systems and their application in institutional investment workflows.
- • Develop a unique and highly sought-after skill set at the intersection of asset management and artificial intelligence.
Skills & Technologies
Remote
About Mentis Technology Solutions Inc.
Mentis provides enterprise data-centric security solutions focused on dynamic data masking, sensitive data discovery, database activity monitoring, and compliance reporting. Founded in 2004, the company serves Fortune 500 organizations and government agencies worldwide, helping protect structured and unstructured data across relational databases, big data platforms, and mainframe environments through continuous classification, real-time masking, and risk analytics without altering source data or impacting performance.
