JOBSEARCHER

Quant Engineer

ARCHIVED

We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.

Want to learn more about this role and Jobot? Click our Jobot logo and followour LinkedIn page!Job details:Quant Engineer role in San Francisco with a Series A FinTech startupThis Jobot Job is hosted by: Brandon BaysAre you a fit? Easy Apply now by clicking the "Easy Apply" buttonand sending us your resume.Salary: $300,000 - $375,000 per yearA bit about us:Quant EngineerLocation: San Francisco, CAWork Model: Four days per week in officeCompensation: $300,000–$375,000About UsWe are an early-stage financial technology company building data, pricing, and research infrastructure for the private markets.Our 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.Following 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.Why join us?Private 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.As 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.This is an opportunity to combine quantitative finance, machine learning, data engineering, and customer-facing problem-solving within a small and highly capable team.Job DetailsAs 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.Responsibilities: Build, maintain, and improve quantitative pricing models for illiquid assetsResearch new datasets, features, and market signals that can improve model performanceDesign and build pipelines that collect, parse, validate, and store financial dataDevelop machine-learning systems using structured and unstructured datasetsExperiment with LLMs to automate data ingestion, extraction, and quality-control workflowsImprove the scalability and efficiency of existing data pipelinesProduce custom analyses and data deliverables for institutional clientsExplain quantitative methodologies and data-collection strategies during select client conversationsCollaborate closely with engineering, product, sales, and company leadershipQualifications:Professional experience as a Quant at a trading desk, hedge fund, bank, asset manager, or comparable institutional financial environmentStrong foundation in statistics, probability, applied mathematics, financial modeling, or machine learningDegree in mathematics, statistics, data science, computer science, financial engineering, or another quantitative disciplineMaster’s degree preferredStrong software-engineering and data-engineering capabilitiesExperience working with large, complex, or imperfect financial datasetsAbility to translate technical concepts for both quantitative and non-technical audiencesComfortable operating with significant ownership in an early-stage environmentAble to work from our San Francisco office four days per weekInterested in hearing more? Easy Apply now by clicking the "Easy Apply" button.Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyWant to learn more about this roleand Jobot?Click our Jobot logo and follow our LinkedIn page!