Quantitative Researcher - Model Scaling

{
  "content_hash": "cced4fe77727056668d8be81140eabed688df39b0ce695524c3fe2c228f2a9a1",
  "source_hash": "4bb123376545a8373249b1c84a9725aa9c83dc790375ad3399c730e4024e250e",
  "last_changed_at": "2026-06-06T08:11:57.967Z",
  "active_status": "active"
}

{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "San Francisco, CA, US",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 187000,
  "salary_min": 144000,
  "inferred_at": "2026-06-20T08:11:57.158Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA, US",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "day",
  "workplace_type": null,
  "salary_currency": "USD"
}

{}

{
  "json_ld": {
    "url": "https://globalcareers-msci.icims.com/jobs/5140/quantitative-researcher---model-scaling/job",
    "@type": "JobPosting",
    "title": "Quantitative Researcher - Model Scaling",
    "@context": "http://schema.org",
    "datePosted": "2026-04-20T04:00:00.000Z",
    "description": "<h2>Your Team Responsibilities</h2>\n<p>The Factors Research Platform and Governance team is responsible for building and modernizing the infrastructure, tooling, and frameworks that power MSCI's quantitative risk and factor model research. The team develops the systems and environments that enable researchers to iterate quickly, maintain model governance, and deliver production-quality outputs at scale.</p>\n<h2>Your Key Responsibilities</h2>\n<ul>\n <li>Designing and building modern research infrastructure that integrates AI to accelerate model development, validation, and reporting workflows</li>\n <li>Developing tools and frameworks that allow researchers to move from high-level specifications to production-ready implementations with minimal manual overhead</li>\n <li>Building and maintaining automated validation, testing, and governance pipelines for quantitative models</li>\n <li>Writing production-level code to support platform development and model delivery</li>\n <li>Supporting existing factor and risk models while evolving the platform to enable faster research iteration</li>\n <li>Collaborating cross-functionally with research, engineering, and data teams</li>\n <li>Presenting complex systems and methods to a broad range of audiences</li>\n</ul>\n<h2>Your skills and experience that will help you excel</h2>\n<ul>\n <li>M.S. or Ph.D. in Finance, Statistics, Computer Science, Engineering, or other quantitative discipline</li>\n <li>Strong software engineering skills, particularly in Python</li>\n <li>Hands-on experience with modern AI-assisted development tools and workflows, with a demonstrated ability to stay current with rapidly evolving AI capabilities and incorporate them into day-to-day work</li>\n <li>Experience building systems and tooling that leverage AI/LLMs to augment technical workflows</li>\n <li>Data analysis and experience with large-scale data infrastructure</li>\n <li>Econometrics and applied statistics</li>\n <li>Ability to work independently and drive projects from design through delivery</li>\n <li>Knowledge of finance or risk modeling is preferred but not required</li>\n</ul>\n<h2>About MSCI</h2>\n<p> </p>\n<p><strong>What we offer you</strong></p>\n<ul>\n <li>Salary range: $144,000 - $187,000 / year plus eligible for annual bonus</li>\n <li>Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.</li>\n</ul>\n<ul>\n <li>Flexible working arrangements, advanced technology, and collaborative workspaces.</li>\n</ul>\n<ul>\n <li>A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.</li>\n</ul>\n<ul>\n <li>A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.</li>\n</ul>\n<ul>\n <li>Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.</li>\n</ul>\n<ul>\n <li>Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.</li>\n</ul>\n<ul>\n <li>We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.</li>\n</ul>\n<p>At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.</p>\n<p>MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.</p>\n<p> </p>\n<p>MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [email protected] and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.</p>\n<p> </p>\n<p><strong>To all recruitment agencies</strong></p>\n<p>MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.</p>\n<p> </p>\n<p><strong>Note on recruitment scams</strong></p>\n<p>We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com</p>",
    "directApply": true,
    "jobLocation": [
      {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "94105",
          "addressRegion": "CA",
          "streetAddress": "221 Main Street",
          "addressCountry": "US",
          "addressLocality": "San Francisco",
          "postOfficeBoxNumber": "UNAVAILABLE"
        }
      }
    ],
    "validThrough": "2027-04-20T04:00:00.000Z",
    "employmentType": "FULL_TIME",
    "hiringOrganization": {
      "name": "MSCI",
      "@type": "Organization",
      "sameAs": "https://www.msci.com/"
    },
    "occupationalCategory": "Research"
  },
  "detail_meta": {
    "url": "https://globalcareers-msci.icims.com/jobs/5140/quantitative-researcher---model-scaling/job?in_iframe=1",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 37625,
    "compact_response_bytes": 7007,
    "original_response_bytes": 37625
  },
  "sitemap_job": {
    "id": "5140",
    "url": "https://globalcareers-msci.icims.com/jobs/5140/quantitative-researcher---model-scaling/job",
    "slug": "quantitative-researcher---model-scaling",
    "lastmod": "2026-05-20T05:59:04-04:00"
  },
  "detail_errors": []
}