bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesGlobalcareers Msci Icims ComSenior AI Researcher - Emerging Risks & Opportunities

Senior AI Researcher - Emerging Risks & Opportunities

Globalcareers Msci Icims Com · Toronto, ON, CA · Active · $130,000–$180,000 / year · iCIMS

Job facts

FieldValue
CompanyGlobalcareers Msci Icims Com
TitleSenior AI Researcher - Emerging Risks & Opportunities
Normalized title-
Department / teamResearch
LocationToronto, ON, Canada
Work model-
Employment typeFull Time
Salary$130,000–$180,000 / year
Statusactive
ATS provideriCIMS
Posted / first seen2026-04-21 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from Globalcareers Msci Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in Research.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGlobalcareers Msci Icims Com
Source0088e0d0-373b-4928-ae5c-238daa2b51f0
ATS provideriCIMS

Description

Your Team Responsibilities The Emerging Risks & Opportunities R&D team is building MSCI’s next-generation capability for measuring and classifying portfolio exposure to economy-wide structural themes. Our team develops AI-native research methodologies and data pipelines that enable investors to quantify company and portfolio exposure to emerging risks and opportunities like AI disruption, climate change, geopolitics, and supply chain disruption. Our work centers on researching public and private companies and generating investment signals from diverse data sources including earnings transcripts, company financial filings, and news. As a senior researcher on the team, you will apply practical expertise in AI agent architecture and knowledge retrieval to solve complex investment research problems. You will contribute to the development of the team’s LLM-powered research workflows and help scale research methodologies into investment signals covering public and private companies for institutional investors. Your Key Responsibilities Design and develop research methodologies that enable institutional investors to quantify portfolio exposure to economy-wide structural themes, drawing on company financial filings, earnings transcripts, news and press releases, supply chain networks, patent filings, and hiring data in collaboration with investment research experts. Implement research methodologies using retrieval-augmented generation (RAG) and agentic pipelines, ensuring transparency for institutional investors. Build evaluation pipelines for agentic systems, assess individual pipeline stages for output quality, and design regression tests across prompt and model changes to ensure methodological rigor at scale. Work closely with engineering teams to translate research prototypes into scalable, production-ready systems. Continuously research and prototype emerging techniques in agentic and reasoning architectures, and develop systematic approaches to codify research methodologies into reusable prompt and taxonomy configurations. Your skills and experience that will help you excel Salary range: $130,000 - $180,000 CAD / year plus eligible for annual bonus 5+ years of experience building LLM systems for text analysis, information extraction, or document classification, and deep familiarity with knowledge retrieval (RAG) and AI agent architecture. Strong Python programming skills with experience in agentic orchestration and LLM application frameworks (e.g. LangGraph, LlamaIndex, or equivalent). Demonstrated ability to design prompts and decision rules that translate analytical frameworks into executable LLM pipelines. Experience applying AI-driven methodologies to investment research problems, including extracting insights from unstructured data and translating them into measurable, decision-useful signals. Track record of building evaluation methodologies for LLM-based systems, including techniques for measuring output quality and consistency at scale across multi-step agentic workflows. Comfortable navigating ambiguity and owning research workstreams end-to-end in a fast-paced environment with evolving priorities and iterative prototyping. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. 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. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. 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. 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. 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. 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. To all recruitment agencies 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. Note on recruitment scams 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

Full job record

Job ID06350ae4f7e0ce6650acffa9592a166b407c24c4
Org ID5d7482d0-8454-4909-a5d9-6b34a6e83805
Source ID0088e0d0-373b-4928-ae5c-238daa2b51f0
Board ID0088e0d0-373b-4928-ae5c-238daa2b51f0
Providericims
Provider Job Key5237
TitleSenior AI Researcher - Emerging Risks & Opportunities
Normalized Title
Statusactive
Activeyes
Location TextToronto, ON, CA
DepartmentResearch
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryCanada
RegionON
CityToronto
Salary RawYour Team Responsibilities The Emerging Risks & Opportunities R&D team is building MSCI’s next-generation capability for measuring and classifying portfolio exposure to economy-wide structural themes. Our team develops AI-native research methodologies and data pipelines that enable investors to quantify company and portfolio exposure to emerging risks and opportunities like AI disruption, climate change, geopolitics, and supply chain disruption. Our work centers on researching public and private companies and generating investment signals from diverse data sources including earnings transcripts, company financial filings, and news. As a senior researcher on the team, you will apply practical expertise in AI agent architecture and knowledge retrieval to solve complex investment research problems. You will contribute to the development of the team’s LLM-powered research workflows and help scale research methodologies into investment signals covering public and private companies for institutional investors. Your Key Responsibilities Design and develop research methodologies that enable institutional investors to quantify portfolio exposure to economy-wide structural themes, drawing on company financial filings, earnings transcripts, news and press releases, supply chain networks, patent filings, and hiring data in collaboration with investment research experts. Implement research methodologies using retrieval-augmented generation (RAG) and agentic pipelines, ensuring transparency for institutional investors. Build evaluation pipelines for agentic systems, assess individual pipeline stages for output quality, and design regression tests across prompt and model changes to ensure methodological rigor at scale. Work closely with engineering teams to translate research prototypes into scalable, production-ready systems. Continuously research and prototype emerging techniques in agentic and reasoning architectures, and develop systematic approaches to codify research methodologies into reusable prompt and taxonomy configurations. Your skills and experience that will help you excel Salary range: $130,000 - $180,000 CAD / year plus eligible for annual bonus 5+ years of experience building LLM systems for text analysis, information extraction, or document classification, and deep familiarity with knowledge retrieval (RAG) and AI agent architecture. Strong Python programming skills with experience in agentic orchestration and LLM application frameworks (e.g. LangGraph, LlamaIndex, or equivalent). Demonstrated ability to design prompts and decision rules that translate analytical frameworks into executable LLM pipelines. Experience applying AI-driven methodologies to investment research problems, including extracting insights from unstructured data and translating them into measurable, decision-useful signals. Track record of building evaluation methodologies for LLM-based systems, including techniques for measuring output quality and consistency at scale across multi-step agentic workflows. Comfortable navigating ambiguity and owning research workstreams end-to-end in a fast-paced environment with evolving priorities and iterative prototyping. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. 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. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. 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. 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. 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. 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. To all recruitment agencies 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. Note on recruitment scams 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
Salary Min130,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://globalcareers-msci.icims.com/jobs/5237/senior-ai-researcher---emerging-risks-%26-opportunities/job
Apply URLhttps://globalcareers-msci.icims.com/jobs/5237/senior-ai-researcher---emerging-risks-%26-opportunities/job
First Seen At2026-05-31 18:32:00Z
Last Seen At2026-06-18 08:11:57Z
Last Checked At2026-06-18 08:11:57Z
Last Changed At2026-06-06 08:11:57Z
Inactive At
Source Posted At2026-04-21 04:00:00Z
Source Updated At2026-05-20 09:45:21Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=globalcareers-msci.icims.com/date=2026-06-18/2026-06-18T08-11-54-273Z-a770613c32952496fa4bfe9ddf70bcc972a0d348577db4e0357a6188b20e1945.json
Event Fields
{
  "content_hash": "40484293afb033c96f0f2ac70b6d2b60e7615763e347982fefb7a42d56463df6",
  "source_hash": "5bcbab8d23b588219da06a21c740b8e41e71da412ee093c19adb181dda4298a9",
  "last_changed_at": "2026-06-06T08:11:57.967Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Toronto, ON, CA",
    "city": "Toronto",
    "region": "ON",
    "country": "Canada",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 180000,
  "salary_min": 130000,
  "inferred_at": "2026-06-18T08:11:57.983Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Toronto, ON, CA",
      "city": "Toronto",
      "region": "ON",
      "country": "Canada",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "Canada"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "json_ld": {
    "url": "https://globalcareers-msci.icims.com/jobs/5237/senior-ai-researcher---emerging-risks-%26-opportunities/job",
    "@type": "JobPosting",
    "title": "Senior AI Researcher - Emerging Risks & Opportunities",
    "@context": "http://schema.org",
    "datePosted": "2026-04-21T04:00:00.000Z",
    "description": "<h2>Your Team Responsibilities</h2>\n<p>The Emerging Risks & Opportunities R&D team is building MSCI’s next-generation capability for measuring and classifying portfolio exposure to economy-wide structural themes.</p>\n<p>Our team develops AI-native research methodologies and data pipelines that enable investors to quantify company and portfolio exposure to emerging risks and opportunities like AI disruption, climate change, geopolitics, and supply chain disruption. Our work centers on researching public and private companies and generating investment signals from diverse data sources including earnings transcripts, company financial filings, and news.</p>\n<p>As a senior researcher on the team, you will apply practical expertise in AI agent architecture and knowledge retrieval to solve complex investment research problems. You will contribute to the development of the team’s LLM-powered research workflows and help scale research methodologies into investment signals covering public and private companies for institutional investors.</p>\n<h2>Your Key Responsibilities</h2>\n<ul>\n <li>Design and develop research methodologies that enable institutional investors to quantify portfolio exposure to economy-wide structural themes, drawing on company financial filings, earnings transcripts, news and press releases, supply chain networks, patent filings, and hiring data in collaboration with investment research experts.</li>\n <li>Implement research methodologies using retrieval-augmented generation (RAG) and agentic pipelines, ensuring transparency for institutional investors.</li>\n <li>Build evaluation pipelines for agentic systems, assess individual pipeline stages for output quality, and design regression tests across prompt and model changes to ensure methodological rigor at scale.</li>\n <li>Work closely with engineering teams to translate research prototypes into scalable, production-ready systems.</li>\n <li>Continuously research and prototype emerging techniques in agentic and reasoning architectures, and develop systematic approaches to codify research methodologies into reusable prompt and taxonomy configurations.</li>\n</ul>\n<h2>Your skills and experience that will help you excel</h2>\n<ul>\n <li>Salary range: $130,000 - $180,000 CAD / year plus eligible for annual bonus</li>\n <li>5+ years of experience building LLM systems for text analysis, information extraction, or document classification, and deep familiarity with knowledge retrieval (RAG) and AI agent architecture.</li>\n <li>Strong Python programming skills with experience in agentic orchestration and LLM application frameworks (e.g. LangGraph, LlamaIndex, or equivalent).</li>\n <li>Demonstrated ability to design prompts and decision rules that translate analytical frameworks into executable LLM pipelines.</li>\n <li>Experience applying AI-driven methodologies to investment research problems, including extracting insights from unstructured data and translating them into measurable, decision-useful signals.</li>\n <li>Track record of building evaluation methodologies for LLM-based systems, including techniques for measuring output quality and consistency at scale across multi-step agentic workflows.</li>\n <li>Comfortable navigating ambiguity and owning research workstreams end-to-end in a fast-paced environment with evolving priorities and iterative prototyping.</li>\n</ul>\n<h2>About MSCI</h2>\n<p> </p>\n<p><strong>What we offer you</strong></p>\n<ul>\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": "M5B 1B1",
          "addressRegion": "ON",
          "streetAddress": "1 First Canadian Place",
          "addressCountry": "CA",
          "addressLocality": "Toronto",
          "postOfficeBoxNumber": "UNAVAILABLE"
        }
      }
    ],
    "validThrough": "2027-04-21T04:00:00.000Z",
    "employmentType": "FULL_TIME",
    "hiringOrganization": {
      "name": "MSCI",
      "@type": "Organization",
      "sameAs": "https://www.msci.com/"
    },
    "occupationalCategory": "Research"
  },
  "detail_meta": {
    "url": "https://globalcareers-msci.icims.com/jobs/5237/senior-ai-researcher---emerging-risks-%26-opportunities/job?in_iframe=1",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 43242,
    "compact_response_bytes": 8238,
    "original_response_bytes": 43242
  },
  "sitemap_job": {
    "id": "5237",
    "url": "https://globalcareers-msci.icims.com/jobs/5237/senior-ai-researcher---emerging-risks-%26-opportunities/job",
    "slug": "senior-ai-researcher---emerging-risks-%26-opportunities",
    "lastmod": "2026-05-20T05:45:21-04:00"
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/06350ae4f7e0ce6650acffa9592a166b407c24c4?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/5d7482d0-8454-4909-a5d9-6b34a6e83805JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/0088e0d0-373b-4928-ae5c-238daa2b51f0JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/06350ae4f7e0ce6650acffa9592a166b407c24c4/eventsJSON