{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/rigorous-quantitative-analysis"},"x-facet":{"type":"skill","slug":"rigorous-quantitative-analysis","display":"Rigorous Quantitative Analysis","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_55cce8b6-8ff"},"title":"Quantitative Researcher, Systematic Macro","description":"<p>A fast-growing, collaborative, and entrepreneurial systematic investment team is seeking a highly skilled Quantitative Researcher with expertise in systematic macro strategies.</p>\n<p>The ideal candidate will contribute to alpha research, signal development, and strategy implementation in a dynamic and fast-paced environment. This role offers significant career growth.</p>\n<p>Principal Responsibilities:</p>\n<p>Work closely with the Senior Portfolio Manager to develop systematic macro strategies, focusing on alpha research, including idea generation, data preprocessing, statistical analysis, backtesting, and implementation.</p>\n<p>Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.</p>\n<p>Independently explore and develop new alpha ideas while collaborating in a transparent and team-oriented environment.</p>\n<p>Preferred Technical Skillset:</p>\n<p>Strong research and programming skills, with proficiency in Python.</p>\n<p>Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.</p>\n<p>Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-ranked university. Strong candidates with Bachelor&#39;s degree will also be considered.</p>\n<p>Exceptional problem-solving abilities, intellectual curiosity (especially in alpha research), and a proactive research mindset.</p>\n<p>Creativity and out-of-the-box thinking, combined with rigorous quantitative analysis.</p>\n<p>Preferred Experience:</p>\n<p>2+ years of experience in quantitative research with a focus on systematic macro strategies.</p>\n<p>Preferred experience in hedge fund alpha research in commodities, FX, equity, and bond futures.</p>\n<p>Experience in macro intraday strategies is a strong plus.</p>\n<p>Experience in trading cost analysis is a plus.</p>\n<p>Experience in machine learning is a plus.</p>\n<p>Target Start Date:</p>\n<p>Up to 12 months (strong preference for candidates who can start sooner)</p>\n<p>Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000 to $200,000, 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_55cce8b6-8ff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Quant Strategies","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755943671775","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$150,000 to $200,000","x-skills-required":["Python","Pandas","SciPy","NumPy","Polars","Masters or PhD degree in a quantitative subject"],"x-skills-preferred":["data analytics libraries","library-building experience","problem-solving abilities","intellectual curiosity","proactive research mindset","creativity","rigorous quantitative analysis"],"datePosted":"2026-04-18T22:14:14.142Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Python, Pandas, SciPy, NumPy, Polars, Masters or PhD degree in a quantitative subject, data analytics libraries, library-building experience, problem-solving abilities, intellectual curiosity, proactive research mindset, creativity, rigorous quantitative analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":200000,"unitText":"YEAR"}}}]}