{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/central-execution-book"},"x-facet":{"type":"company","slug":"central-execution-book","display":"Central Execution Book","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_566c8778-7f9"},"title":"Quantitative Developer (Python) -  Central Liquidity Strategies","description":"<p>We are seeking a highly driven, results-oriented Senior Quantitative Developer to join a dynamic group tasked with developing our next-generation alpha research pipeline, encompassing data ingestion to model evaluation and reporting.</p>\n<p>The successful candidate will be expected to:</p>\n<ul>\n<li>Help design and contribute to the alpha research platform</li>\n<li>Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes</li>\n<li>Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline</li>\n<li>Mentor junior resources</li>\n<li>Regularly interact with quantitative researchers and other stakeholders, and prioritise and implement features</li>\n</ul>\n<p>The ideal candidate will have:</p>\n<ul>\n<li>5+ years of Python experience in a quantitative finance setting</li>\n<li>Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows</li>\n<li>Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch</li>\n<li>Prior experience building alpha research or machine learning pipelines</li>\n<li>Highly analytical with strong problem-solving skills and attention to detail</li>\n<li>Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely</li>\n<li>Ability to tune and debug runtime performance of data applications</li>\n<li>Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)</li>\n</ul>\n<p>The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_566c8778-7f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Central Execution Book","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954183338","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 to $250,000","x-skills-required":["Python","linear models","basic statistics","Plotly","Altair","JAX","TensorFlow","PyTorch","C++/Rust/CUDA"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:25.204Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, linear models, basic statistics, Plotly, Altair, JAX, TensorFlow, PyTorch, C++/Rust/CUDA","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":250000,"unitText":"YEAR"}}}]}