Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional investment reasoning and AI outputs.
Translate how institutional investors evaluate securities into problems that push the limits of AI reasoning.
Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Their team combines deep asset management experience with machine learning and applied AI research.
Develop realistic prompts to test the relevance and quality of AI-generated insights.
Evaluate divergence between investment professional views and AI outputs.
Design frameworks that push the limits of AI reasoning in hedge fund contexts.
Mentis AI operates at the intersection of institutional investment expertise and frontier AI systems. They combine deep asset management experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions in high-stakes financial contexts.
Improve AI reasoning across investment banking and capital markets.
Contribute deal experience to a structured research project.
Evaluate, generate, and refine content reflecting senior IB professionals' thinking.
Mentis AI, founded by ex-Lazard and Partners Group professionals, brings real-world expertise from finance into AI model training. Headquartered in London and San Francisco, they bridge the gap between human and artificial intelligence.
Contribute deal experience to a structured research project.
Improve AI reasoning across investment banking and capital markets.
Evaluate, generate, and refine content reflecting IB professional thought processes.
Mentis AI, headquartered in London and San Francisco, brings real-world expertise from finance into AI model training. They bridge the gap between human and artificial intelligence with ex-Lazard and Partners Group founders.
Design and build front-office quantitative tools and infrastructure supporting portfolio managers, traders, and alternative asset managers across fixed income and credit strategies.
Develop and maintain data ingestion and processing pipelines integrating data from major financial vendors.
Build and enhance portfolio analytics, optimization frameworks, and simulation environments for portfolio construction, risk analysis, and strategy implementation.
Arch Capital Group Ltd. is a Bermuda-based specialty insurer that provides insurance, reinsurance and mortgage insurance on a worldwide basis. With a 20+-year track record of delivering results and a coveted position on the S&P 500 index, Arch is a great place to grow your career.
Build and maintain internal dashboards, portals, and GUI-based tools for trading and operations teams
Develop automation solutions to streamline manual workflows and improve operational efficiency
Work directly with business stakeholders to translate requirements into technical solutions
DV Trading is a global financial services firm that utilizes its capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and across asset classes. Founded 20 years ago, they have grown to approximately 600 people operating throughout North America, Europe, the UAE, and Asia.
Actively price, execute, and manage client flow across spot, options, and other derivatives, ensuring best-in-class execution and settlement.
Build and deepen relationships with institutional clients, HNWIs, and counterparties through high-touch service, market insight, and trusted execution.
Proactively identify opportunities to expand client activity, cross-sell products, and grow OTC volumes through relationship-led trading.
Kraken is a mission-focused company rooted in crypto values that aims to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. As a fully remote company, they have Krakenites in 70+ countries and are industry pioneers who develop premium crypto products.
Design, build, and maintain quantitative analysis tools for credit, market, and liquidity risk assessment
Build scalable analytics pipelines in Python to automate reporting, data transformation, and real-time risk monitoring
Execute portfolio margin stress tests and scenario analysis under tight timelines, delivering actionable insights to stakeholders
Anchorage Digital is building the world’s most advanced digital asset platform for institutions to participate in crypto. The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. The team brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.
Define and own the product spec for our factor library.
Take quant researcher signal research and collaborate with engineering partners to turn insights into repeatable, scalable factor computation and delivery pipelines.
Conduct deep customer research to understand key systematic end-user needs, feed architecture designs, integration requirements, and backtesting workflows.
YipitData is a market research and analytics firm for the disruptive economy, analyzing billions of alternative data points daily. They provide detailed insights to investment funds and corporations and has a people-centric culture focused on mastery, ownership, and transparency.
Develop and iterate realistic prompts to test the relevance of AI-generated insights.
Systematically evaluate divergence between professional banking judgment and AI outputs.
Translate how senior bankers evaluate transactions into problems that push the limits of AI reasoning.
Mentis AI operates at the intersection of institutional finance expertise and frontier AI systems. Their 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 in financial contexts.
Designing and executing primary research on subjects related to data quality and the effects of AI on online research.
Conducting work that meets the standard expected at leading academic venues and industry conferences.
Representing Prolific at academic conferences and industry events.
Prolific is redefining AI development by providing human data infrastructure that delivers high-quality, diverse data for AI models. They empower researchers and companies to access a global pool of participants, ensuring ethical and inclusive AI research and training.
Design real-time distributed trading systems that place orders across a global set of markets and asset classes
Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and testing
Improve the resilience and performance of our trading systems
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. They have become a multibillion-dollar asset manager, and they have ambitious goals for the future. Expect internationally recognized experts in AI and machine learning, as well as highly experienced finance and technology professionals.
Help build AI training data that captures how private equity professionals evaluate investments.
Value companies, structure transactions, manage portfolio companies, and drive returns.
Cover the full investment lifecycle from sourcing to exit.
Mentis AI, founded by ex-Lazard and Partners Group professionals, is headquartered in London and San Francisco. We bring real-world expertise from finance into AI model training, bridging the gap between human and artificial intelligence.
Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Evaluate divergence between professional advisory judgment and AI outputs.
Translate practitioner approaches into problems that push the limits of AI reasoning.
Mentis AI operates at the intersection of institutional investment expertise and frontier AI systems, collaborating with leading AI labs to improve how models reason and make decisions in high-stakes financial contexts. Their team combines asset management experience with machine learning and applied AI research, operating across London and San Francisco.
Systematically call / email prospects to market NielsenIQ’s products.
Manage a pipeline of new business from initial conversation to close of sale.
Gather market intelligence and contribute to new product development to meet changing client needs.
NielsenIQ is a leading market research firm that provides alternative data products to hedge funds, mutual funds, and private equity firms. They combined with GfK in 2023 and have operations in 100+ markets, covering more than 90% of the world’s population.
Manage the entire product lifecycle from initial data analysis through launch.
Act as the primary bridge between complex user workflows and technical execution.
Work alongside internal domain experts to understand user pain points and validate product hypotheses.
AlphaSense empowers professionals to make smarter decisions through AI-driven market intelligence. With over 2,000 employees across the globe, AlphaSense is headquartered in New York City with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland; we foster a supportive and inclusive work environment.