
Job Overview
Location
United Kingdom
Job Type
Contract
Category
Other
Date Posted
March 30, 2026
Full Job Description
📋 Description
- • This role is critical to advancing AI systems that can reason like top-tier investment banking professionals, directly contributing to the development of models that understand complex financial transactions, valuation methodologies, and deal execution processes. Your expertise will help bridge the gap between human financial intuition and machine learning, enabling AI to support real-world IB workflows with greater accuracy and contextual awareness.
- • You will evaluate, generate, and refine AI training content that mirrors how senior investment bankers think through transactions — from origination and pitching to due diligence, execution, and closing — ensuring the AI learns from authentic, deal-specific reasoning patterns used at bulge bracket and elite boutique firms.
- • Day to day, you will review and annotate AI-generated financial content for accuracy, relevance, and sophistication in areas such as M&A structuring, valuation models (DCF, LBO, comps), ECM/DCM execution, and syndicate mechanics, providing expert feedback to improve model outputs.
- • You will create and refine scenario-based training examples that reflect real IB deal logic, including drafting pitch book excerpts, fairness opinion summaries, transaction rationale narratives, and client-facing materials that align with industry standards and senior-level thinking.
- • You will collaborate with the AI training team to identify gaps in model understanding of complex financial concepts, such as waterfall distributions, covenant structures, or regulatory considerations, and contribute domain-specific corrections and enhancements.
- • You will participate in structured review cycles to validate AI-generated outputs against real deal precedents, ensuring the model captures nuanced judgment calls — such as when to walk away from a deal, how to assess synergies, or how to structure earn-outs — based on your frontline experience.
- • You will help develop and refine evaluation rubrics used to assess AI performance in IB/CM contexts, translating your expertise into measurable criteria for model improvement.
- • Mentis Technology Solutions Inc. is founded by former Lazard and Partners Group professionals, bringing deep institutional finance expertise to the forefront of AI innovation. Headquartered in London and San Francisco, the company specializes in training AI systems using real-world professional knowledge from high-stakes industries like investment banking, law, and consulting.
- • The team operates at the intersection of finance and artificial intelligence, combining subject-matter experts with ML engineers to build AI that doesn’t just pattern-match but reasons with domain integrity — making your role essential to ensuring the technology reflects authentic professional judgment.
- • You will be part of a mission-driven effort to elevate AI’s utility in finance, where models trained on your insights could one day assist junior bankers, support deal teams, or enhance client advisory services — giving your experience lasting impact beyond traditional IB roles.
- • In this role, you will deepen your understanding of how AI learns from human expertise, gaining rare exposure to the forefront of AI applications in finance while refining your own ability to articulate complex financial logic — a skill valuable for future leadership, advisory, or fintech entrepreneurship paths.
- • You will contribute to a growing body of knowledge that aims to make AI a trustworthy partner in high-stakes financial decision-making, positioning yourself at the vanguard of a transformation that could reshape how investment banking is practiced and taught.
🎯 Requirements
- • 3–7 years of experience in investment banking or capital markets at a bulge bracket or elite boutique firm (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 experience in M&A, industry coverage, ECM/DCM, leveraged finance, or syndicate
- • Deep expertise in at least one area: 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 models, and comfort with complex transaction analysis, fairness opinions, and client-facing materials
- • Ability to commit 15+ hours per week with flexible scheduling
- • Eligibility to work remotely globally or in-person if based in London or San Francisco
🏖️ Benefits
- • Paid professional engagement with competitive compensation for your expertise
- • Fully remote work option with flexibility to schedule hours around your existing commitments
- • Opportunity to shape the future of AI in finance by training models using real IB deal experience
- • Collaboration with ex-Lazard and Partners Group founders and a team at the forefront of AI-finance integration
- • Immediate start date with rolling admissions, allowing you to begin contributing quickly
- • Intellectual stimulation from working on cutting-edge AI applications that challenge you to think about finance in new ways
Skills & Technologies
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.
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