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    <job>
      <externalid>55cce8b6-8ff</externalid>
      <Title>Quantitative Researcher, Systematic Macro</Title>
      <Description><![CDATA[<p>A fast-growing, collaborative, and entrepreneurial systematic investment team is seeking a highly skilled Quantitative Researcher with expertise in systematic macro strategies.</p>
<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>
<p>Principal Responsibilities:</p>
<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>
<p>Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.</p>
<p>Independently explore and develop new alpha ideas while collaborating in a transparent and team-oriented environment.</p>
<p>Preferred Technical Skillset:</p>
<p>Strong research and programming skills, with proficiency in Python.</p>
<p>Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.</p>
<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>
<p>Exceptional problem-solving abilities, intellectual curiosity (especially in alpha research), and a proactive research mindset.</p>
<p>Creativity and out-of-the-box thinking, combined with rigorous quantitative analysis.</p>
<p>Preferred Experience:</p>
<p>2+ years of experience in quantitative research with a focus on systematic macro strategies.</p>
<p>Preferred experience in hedge fund alpha research in commodities, FX, equity, and bond futures.</p>
<p>Experience in macro intraday strategies is a strong plus.</p>
<p>Experience in trading cost analysis is a plus.</p>
<p>Experience in machine learning is a plus.</p>
<p>Target Start Date:</p>
<p>Up to 12 months (strong preference for candidates who can start sooner)</p>
<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>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$150,000 to $200,000</Salaryrange>
      <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</Skills>
      <Category>Finance</Category>
      <Industry>Finance</Industry>
      <Employername>Quant Strategies</Employername>
      <Employerlogo>https://logos.yubhub.co/mlp.eightfold.ai.png</Employerlogo>
      <Employerdescription>Millennium is a global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.</Employerdescription>
      <Employerwebsite>https://mlp.eightfold.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://mlp.eightfold.ai/careers/job/755943671775</Applyto>
      <Location>New York, New York, United States of America</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
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