Construct expert benchmarks: Build and validate real-world underwriting models and investment cases used to evaluate frontier AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated real estate analyses and identify where logic or market intuition fail.
Design frameworks: Translate how REPE professionals evaluate acquisitions and structure transactions into problems that push the limits of AI reasoning.
Mentis AI operates at the intersection of institutional finance expertise and frontier AI systems. Our team combines financial services experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions.
Construct expert benchmarks: Build and validate real-world investment cases and portfolio management frameworks to evaluate AI systems.
Stress-test model reasoning: Diagnose weaknesses in AI-generated investment analyses, identifying where logic or market intuition fails.
Design frameworks: Translate how institutional investors evaluate securities and manage risk into problems that push the limits of AI reasoning.
Mentis AI operates where institutional investment expertise meets frontier AI systems. They combine asset management experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions in financial contexts.
Data will capture how private equity and growth equity professionals evaluate investments.
Data will span the full investment lifecycle from sourcing to exit.
Mentis AI, founded by ex-Lazard and Partners Group professionals, brings real-world expertise from finance into AI model training. They are headquartered in London and San Francisco and aim to bridge the gap between human and artificial intelligence.
Build and manage best-in-class private asset offerings for Wealthsimple clients.
Collaborate across teams to support high-priority initiatives.
Translate investor needs into clear requirements and analyses.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Utilize proprietary software to provide accurate input and labels for private credit projects.
Deliver curated, high-quality data for scenarios involving direct lending transactions, credit underwriting and analysis, loan structuring, covenant negotiation, sponsor due diligence, portfolio company monitoring, collateral valuation, distressed debt investing, and special situations analysis.
Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
XAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence with a flat organizational structure.
Use financial analysis, modeling, and advisory experience to evaluate AI content.
Provide feedback to help AI understand financial concepts.
Work independently on a flexible schedule with no minimum hour requirement.
Handshake is connecting students and employers. Through Handshake, finance professionals help AI to better understand financial concepts, quantitative reasoning, industry terminology, and professional communication.
Prepare daily/weekly/monthly reporting and explanations of changes to the borrowing base or asset sale base.
Prepare estimations, analysis, and reconciliation of funds flow/funds matching / draws from bank accounts.
Support accounting footprint on capital market activities and work with engineers to develop automated reports.
Aven is a fintech company that has invented a new credit card powered by an advanced asset-securing platform, enabling them to offer lower APRs to consumers. The team combines technology and finance executives and is backed by prominent investors.
You will be vital in enhancing xAI's frontier AI models by supplying high-quality annotations, evaluations, and expert reasoning using proprietary labeling tools.
You will work closely with technical teams to support the creation and refinement of new AI tasks, focusing especially on cryptocurrency and digital asset markets.
Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies.
XAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence.
Support the liquidation team on processing account debits.
Design and maintain SQL queries, dbt models, and analytical frameworks that provide reliable insights into delinquencies, reimbursements, and recovery rates across our products.
Develop dashboards and reports in tools like Preset, Metabase, or similar platforms that help stakeholders make informed decisions about risk management and operational priorities.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. They take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. They're the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Engage the model with investment scenarios, analytical questions, and market-based reasoning tasks; verify factual correctness and financial logic.
Assess the validity of investment reasoning; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation frameworks, and analytical depth.
Identify where models oversimplify market behavior or misinterpret financial data.
They are evolving large-scale language models from simple conversational tools into systems capable of analyzing financial markets, interpreting investment strategies, and supporting decision-making across asset classes. They seem to have a growing team.