{"schemaVersion":"jobsearcher.job.v1","id":"a5ffb34d30f5328dfb261bd7","url":"https://jobsearcher.com/jobs/a5ffb34d30f5328dfb261bd7","canonicalUrl":"https://jobsearcher.com/jobs/a5ffb34d30f5328dfb261bd7","title":"Quant Engineer","description":"Experience: Mid Level\nSalary: $300,000 - $375,000 per year\n\nJob Details\n-\n\nAs a Quant Engineer, you will build and improve pricing models for illiquid private-market assets while developing the data infrastructure that supports our models and customer-facing platform.\n\nResponsibilities:\nBuild, maintain, and improve quantitative pricing models for illiquid assets\nResearch new datasets, features, and market signals that can improve model performance\nDesign and build pipelines that collect, parse, validate, and store financial data\nDevelop machine-learning systems using structured and unstructured datasets\nExperiment with LLMs to automate data ingestion, extraction, and quality-control workflows\nImprove the scalability and efficiency of existing data pipelines\nProduce custom analyses and data deliverables for institutional clients\nExplain quantitative methodologies and data-collection strategies during select client conversations\nCollaborate closely with engineering, product, sales, and company leadership\n\nQualifications:\nProfessional experience as a Quant at a trading desk, hedge fund, bank, asset manager, or comparable institutional financial environment\nStrong foundation in statistics, probability, applied mathematics, financial modeling, or machine learning\nDegree in mathematics, statistics, data science, computer science, financial engineering, or another quantitative discipline\nMaster’s degree preferred\nStrong software-engineering and data-engineering capabilities\nExperience working with large, complex, or imperfect financial datasets\nAbility to translate technical concepts for both quantitative and non-technical audiences\nComfortable operating with significant ownership in an early-stage environment\nAble to work from our San Francisco office four days per week\n\nA bit about us:\n-\n\nQuant Engineer\n\nLocation: San Francisco, CA\nWork Model: Four days per week in office\nCompensation: $300,000–$375,000\n\nAbout Us\n\nWe are an early-stage financial technology company building data, pricing, and research infrastructure for the private markets.\n\nOur platform transforms complex and fragmented market information into actionable pricing and investment intelligence for leading asset managers, investment banks, venture funds, and other sophisticated financial institutions.\n\nFollowing a recently completed Series A financing, we are expanding our quantitative and data capabilities as we build foundational infrastructure for a rapidly growing asset class.\n\nWhy join us?\n-\n\nPrivate assets do not have the transparent exchanges, continuous pricing, or standardized datasets available in the public markets. Solving that problem requires sophisticated quantitative modeling, creative feature development, and robust data infrastructure.\n\nAs our Quant Engineer, you will have substantial ownership over the models and systems powering our core products. You will work with proprietary financial datasets, solve complex pricing problems, and see your work used directly by major financial institutions.\n\nThis is an opportunity to combine quantitative finance, machine learning, data engineering, and customer-facing problem-solving within a small and highly capable team.\n\n#engineering #quantitative #mathematics #quant #quant-trading #quant-trader #data-engineering #tier2","company":"Leoforce","rawCompany":"leoforce","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T19:35:02.085Z","occupations":[{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2099.00","title":"Mathematical Science Occupations, All Other","slug":"mathematical-science-occupations-all-other"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"523150","title":"Investment Banking and Securities Intermediation","slug":"investment-banking-and-securities-intermediation"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quant Engineer","description":"Experience: Mid Level\nSalary: $300,000 - $375,000 per year\n\nJob Details\n-\n\nAs a Quant Engineer, you will build and improve pricing models for illiquid private-market assets while developing the data infrastructure that supports our models and customer-facing platform.\n\nResponsibilities:\nBuild, maintain, and improve quantitative pricing models for illiquid assets\nResearch new datasets, features, and market signals that can improve model performance\nDesign and build pipelines that collect, parse, validate, and store financial data\nDevelop machine-learning systems using structured and unstructured datasets\nExperiment with LLMs to automate data ingestion, extraction, and quality-control workflows\nImprove the scalability and efficiency of existing data pipelines\nProduce custom analyses and data deliverables for institutional clients\nExplain quantitative methodologies and data-collection strategies during select client conversations\nCollaborate closely with engineering, product, sales, and company leadership\n\nQualifications:\nProfessional experience as a Quant at a trading desk, hedge fund, bank, asset manager, or comparable institutional financial environment\nStrong foundation in statistics, probability, applied mathematics, financial modeling, or machine learning\nDegree in mathematics, statistics, data science, computer science, financial engineering, or another quantitative discipline\nMaster’s degree preferred\nStrong software-engineering and data-engineering capabilities\nExperience working with large, complex, or imperfect financial datasets\nAbility to translate technical concepts for both quantitative and non-technical audiences\nComfortable operating with significant ownership in an early-stage environment\nAble to work from our San Francisco office four days per week\n\nA bit about us:\n-\n\nQuant Engineer\n\nLocation: San Francisco, CA\nWork Model: Four days per week in office\nCompensation: $300,000–$375,000\n\nAbout Us\n\nWe are an early-stage financial technology company building data, pricing, and research infrastructure for the private markets.\n\nOur platform transforms complex and fragmented market information into actionable pricing and investment intelligence for leading asset managers, investment banks, venture funds, and other sophisticated financial institutions.\n\nFollowing a recently completed Series A financing, we are expanding our quantitative and data capabilities as we build foundational infrastructure for a rapidly growing asset class.\n\nWhy join us?\n-\n\nPrivate assets do not have the transparent exchanges, continuous pricing, or standardized datasets available in the public markets. Solving that problem requires sophisticated quantitative modeling, creative feature development, and robust data infrastructure.\n\nAs our Quant Engineer, you will have substantial ownership over the models and systems powering our core products. You will work with proprietary financial datasets, solve complex pricing problems, and see your work used directly by major financial institutions.\n\nThis is an opportunity to combine quantitative finance, machine learning, data engineering, and customer-facing problem-solving within a small and highly capable team.\n\n#engineering #quantitative #mathematics #quant #quant-trading #quant-trader #data-engineering #tier2","datePosted":"2026-08-03T19:35:02.085Z","dateModified":"2026-08-03T19:35:02.085Z","hiringOrganization":{"@type":"Organization","name":"Leoforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a5ffb34d30f5328dfb261bd7"},"url":"https://jobsearcher.com/jobs/a5ffb34d30f5328dfb261bd7"}}