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San Francisco, California

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Today

Quant Engineer role in San Francisco with a Series A FinTech startup This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $300,000 - $375,000 per year A bit about us: Quant Engineer Location: San Francisco, CA Work Model: Four days per week in office Compensation: $300,000-$375,000 About Us We are an early-stage financial technology company building data, pricing, and research infrastructure for the p

Full-time

USD 300,000.00 - 375,000.00 per year

KDB / Quant Developer (Python) - Trading & Analytics Focus

Remote or New York, New York

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Today

Our client is looking to expand their team with KDB / Quant Developers to support upcoming demand in trading and data analytics programmes. While project details are still evolving, the focus will be on quantitative development, working closely with trading and quantitative teams. This role will suit candidates with a strong quantitative mindset, experience working with financial datasets, and the ability to build high-performance data analytics solutions. Responsibilities Develop and enhance KD

Full-time

Full Stack Quantitative Developer with Capital Marketing and Fixed Income Experience

Remote

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21d ago

Job Details: Job Title: Full Stack Quantitative Developer with Capital Marketing and Fixed Income Experience Location: Tampa, FL and New Jersey 100% Remote Duration: Long Term Contract Job Description: We are hiring a Full Stack Quantitative Developerto design, build, and own end-to-end applications that support credit, private credit, structured products, and CLO businesses. This is a hands-on engineering role with quant DNA: you will write production code across the stack, model financial ca

Easy Apply

Third Party, Contract

Depends on Experience

Full Stack Quantitative Developer - Capital Markets-Hybrid in NYC / Dallas / Los Angeles-Direct Client Opportunity-Only Locals

Remote

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11d ago

Job Title: Full Stack Quantitative Developer - Capital Markets Location: Remote Hire Mode: Contract To Hire Primary Skills: Quant Models, Capital markets, Investment Banking, Hedge Funds. Job Description Requirements Education Bachelor's degree (or higher) from a top-tier university in computer science, mathematics, physics, financial engineering, or another quantitative discipline. Experience 5+ years of professional software engineering experience, including production ownership of custo

Easy Apply

Contract, Third Party

Depends on Experience

Senior Quantitative Analyst, Cloud Cost Forecasting and Modeling

Remote or California

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Today

Senior Quantitative Analyst, Cloud Cost Forecasting and Modeling Location: US Remote Focus areas: Cloud cost and usage, Python and Jupyter notebooks, pipeline automation, Monte Carlo simulation, and FP&A style variance analysis. Role summary You will modernize an existing Excel based long range planning model for public cloud spend and rebuild it in Python using Jupyter notebooks. The model forecasts multi year spend across compute, storage, networking, and managed services for AWS, Azure

Easy Apply

Contract

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