Diligencesquared jobs

Business Lead New York City | OnSite ABOUT DILIGENCESQUARED DiligenceSquared (YC F25) is rebuilding how private equity firms, hedge funds, private credit, and corporates conduct commercial due diligence. We deploy AI agents to automate expert interviews at scale, synthesize findings, and deliver fully traceable CDD reports - at a fraction of the cost and timeline of traditional consulting. Backed by Y Combinator and Relentless, we're a small, high-output team working on some of the most intellectually demanding problems in private equity research. THE ROLE We're looking for a sharp, client-facing Business Lead to own the delivery of commercial due diligence for leading private equity funds. You'll be the human-in-the-loop at the heart of our AI-powered research process: translating client needs into precise guidelines for our AI agents, overseeing the quality of their outputs, and ensuring every engagement is delivered with white-glove service. This is a highly visible, client-facing role. You'll work directly with partners and deal teams at top-tier PE funds, have real ownership over your work, and help shape how we build and scale the product - without the layers of process that come with larger organizations. WHAT YOU'LL DO - Own project delivery across multiple simultaneous CDD engagements, from kickoff through final report - Manage client relationships day-to-day - Coordinate expert sourcing across expert networks - Work closely with our AI systems to oversee interviews, analysis and synthesis to ensure coverage against client briefs - Partner with our engineering team to translate client and operational insights into product

Engineer - Backend New York City | OnSite We're looking for a Software Engineer with deep expertise in backend to help develop the next-generation AI platform for market due diligence. You'll architect the AI-powered engine that orchestrates autonomous research agents and voice AI pipelines to create the next-generation of market reports for investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A. About DiligenceSquared DiligenceSquared automates commercial due diligence for Private Equity funds. We're YC-backed, just raised a significant Seed round, and our clients include some of the world's largest PE funds. The market is $10B+ annually - PE funds pay McKinsey, BCG, and Bain $500K-$1M per report. Our AI agents do this work faster, cheaper, and with full auditability (every claim linked to source). Our founders bought and sold these reports at Blackstone and BCG where they held senior positions. We have deep experience with the workflows and know exactly what the market needs - and now we're automating it. What you will do: - Build new product features and experiences end-to-end, everything from database models to API endpoints, and integrating them with UI components for our web and AI Voice Agent Application - Design and build new AI-powered modules from scratch (e.g., market sizing, competitive analysis) that become core capabilities of our research platform - Build and own product foundations (AI agent orchestration, voice AI pipelines, app and API performance, intelligent automations) - Architect scalable backend services with complex async processing and background task orchestration -

Engineer - Fullstack New York City | OnSite We're looking for a Software Engineer with deep expertise in full-stack development to help develop the next-generation AI platform for market due diligence. You'll own complete features end-to-end - from AI-powered backend systems to polished frontend interfaces that investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A use to make billion-dollar decisions. About DiligenceSquared DiligenceSquared automates commercial due diligence for Private Equity funds. We're YC-backed, just raised a significant Seed round, and our clients include some of the world's largest PE funds. The market is $10B+ annually - PE funds pay McKinsey, BCG, and Bain $500K-$1M per report. Our AI agents do this work faster, cheaper, and with higher accuracy than any human. Our founders bought and sold these reports at Blackstone and BCG where they held senior positions. We have deep experience with the workflows and know exactly what the market needs - and now we're automating it. What you will do: - Build new product features and experiences end-to-end, everything from database models to API endpoints, and integrating them with UI components for our Web App and AI Voice Agent application - Design and build new AI-powered modules from scratch (e.g., market sizing, competitive analysis) that become core capabilities of our research platform - Build and own product foundations across the stack (AI agent orchestration, voice AI pipelines, interactive data visualization, app and API performance, intelligent automations) - Apply learnings from each project into the product, so

Engineer - Frontend New York City | OnSite We're looking for a Software Engineer with deep expertise in frontend to help develop the next-generation AI platform for market due diligence. You'll own the frontend for AI-powered research workflows - building interfaces for voice AI interactions and interactive data visualization to create the next-generation of market reports for investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A. About DiligenceSquared DiligenceSquared automates commercial due diligence for Private Equity funds. We're YC-backed, just raised a significant Seed round, and our clients include some of the world's largest PE funds. The market is $10B+ annually - PE funds pay McKinsey, BCG, and Bain $500K-$1M per report. Our AI agents do this work faster, cheaper, and with full auditability (every claim linked to source). Our founders bought and sold these reports at Blackstone and BCG where they held senior positions. We have deep experience with the workflows and know exactly what the market needs - and now we're automating it. What you'll do - Own the entire frontend experience for our AI-powered platform, creating interfaces that delight users at top investment firms - Transform complex data and AI outputs into intuitive, actionable interfaces - Build performant, scalable frontend architecture that can handle intensive real-time operations - Push the boundaries of what's possible with modern web technologies - Apply learnings from each project into the product, so we're 1% better everyday (Law of Compounding is real. After all, we are founded by investment

Investment Due Diligence Analyst Purchase, New York, United States of America posted: Posted 30+ Days Ago

Director, Operational Due Diligence - Alternative Investments Boston, MA posted: Posted 2 Days Ago

Director - Financial Due Diligence San Francisco posted: Posted 30+ Days Ago

Manager - Financial Due Diligence Philadelphia posted: Posted 30+ Days Ago

Officer, KYC Due Diligence Analyst 1 - CANTONESE Proficiency KUALA LUMPUR, Wilayah Persekutuan Kuala Lumpur, Malaysia

Director - Financial Due Diligence - TMT New York posted: Posted 30+ Days Ago

Director, Due Diligence and Integration 3 Locations posted: Posted 30+ Days Ago

WQBRAIN Researcher Hanoi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. ABOUT WORLDQUANT BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm. THE ROLE: WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant's crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant. Research - Create and develop Alphas and other utilization algorithms on BRAIN - Conduct research on academic

Quantitative Python Developer Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking an exceptional individual to work as a Quantitative Developer in a high performance business-embedded tech team. Working closely with Technologists and Researchers, building complex data pipelines and frameworks for strategy and performance analytics. A successful candidate will bring a strong quant dev skillset with the best design / implementation principles and ability to quickly

Quantitative Researcher, Quant Macro Taipei WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing on Quant Macro signals research. The person must have a strong understanding of

C++ Quantitative Developer, Algorithmic Execution New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: The Quantitative Execution Services team is seeking an Execution Algorithm Developer to further improve the architecture of WorldQuant's execution platform across a variety of cash and derivative products. You will be responsible for leading, building and maintaining the algorithm and SOR frameworks, including the short-term predictive models that drive our investment process on our innovative infrastructure with the goal of optimizing trading efficiency. What You'll Bring: - Excellent C++ skills on a Linux platform, preferably with experience in low-latency programming - Experience in designing, implementing electronic algorithmic trading system, for purpose such as execution,

Junior Quantitative Analyst Austin, Texas WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: - We seek candidates interested in being based in our Austin office to work alongside a Quantitative Portfolio Manager - The ideal candidate is a motivated junior quant researcher/developer with knowledge and interest at the intersection of financial markets, machine learning, and data engineering. - Key responsibilities include: - Searching for, understanding, and cleaning raw datasets from WQ's data library - Drawing on intuition about both finance and ML models to appropriately featurize data - Carrying out controlled experiments to discern the economic value of their features and feature combinations - Productionize features and models via

Low Latency C++ Developer Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation trading platforms. What You'll Do: - Write low latency, high throughput C++ code - Implement mission critical trading infrastructure - Work with portfolio managers to implement new trading systems - Adapt existing

Algorithmic Execution Quant (Equities), Director HONG KONG, Hong Kong

Core Ops Data Integrity Reviewer (QC) Richmond, VA posted: Posted 23 Days Ago

Equities Algorithmic Trading Quantitative Analyst, MQA – VP NEW YORK, New York, United States of America

Member of Technical Staff (Data Scientist, Evals) London, UK, United Kingdom, Belgrade, San Francisco, Berlin Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users. Responsibilities - Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's products, ensuring high standards for accuracy and helpfulness - Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer's quality - Develop VLM-based solutions to programmatically evaluate how final answers render visually across different platforms and devices - Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements - Operate within a small, high-impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality Qualifications - PhD or MS in a technical field or equivalent experience - 4+ years of experience in data science or machine learning - Strong proficiency in Python and SQL (expected to write production-grade code) - Experience building within a modern cloud data stack, specifically AWS

Quant-Valuation Model Review Budapest, Hungary posted: Posted 30+ Days Ago

Quantitative Analyst- Balance Sheet Management -Vice President MUMBAI, Mahārāshtra, India

Equity Derivatives Quant Development - Assistant Vice President NEW YORK, New York, United States of America