Mid Level Quantitative Analyst Jobs
Mid level quantitative analyst jobs go to analysts ready to own models end to end, drive risk or pricing decisions with limited oversight, and shape methodology across teams. Openings are 13% remote or hybrid, concentrated in Investment & Asset Management, Banking & Financial Services, and Energy, with employers like Citi, PIMCO, and Stradit hiring at this level now.
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Job Description
Modernize how CMBS deals get done. Partner across Banking, Trading, Underwriting, and Technology to streamline workflows, strengthen data quality, and deploy AI-enabled tools that accelerate origination, execution, and asset management.
Job Summary
As an Analyst on the Quantitative Trading & Research team, you will be an embedded Quantitative Strategist within the CMBS business, applying AI engineering, analytics, and automation across the full deal lifecycle — origination, execution, portfolio monitoring, and reporting. You will have direct exposure to senior investment professionals and broad coverage of CRE finance and structured credit markets.
Job Responsibilities
- Build working knowledge of CMBS/CRE deal workflows; target high-impact automation opportunities
- Design and deploy ML/LLM solutions that reduce turnaround time, minimize errors, and sharpen analytical insight
- Build document-intelligence tools to summarize and extract structured data from legal, underwriting, and ac Materials
- Deliver controlled draft-generation workflows for front-office content (investment summaries, credit memos, IC materials) with human-in-the-loop review
- Build Python tools and data pipelines for market monitoring, deal sourcing, scenario analysis, and portfolio performance reporting
- Partner with Technology and business stakeholders to embed solutions into origination, distribution, risk, and asset-management systems, including third-party data platforms
Required Qualifications, Capabilities, And Skills
- Bachelor's or higher in a quantitative discipline (CS, Engineering, Data Science, Finance, Real Estate)
- 3+ years as a quantitative strategist or in a related role — quantitative finance, data engineering, or applying ML/LLMs to production workflows
- Strong Python; proven ability to build reliable tools and pipelines on a centralized data warehouse and platform framework
- Hands-on with structured and unstructured data; familiarity with vector databases, fine-tuning, evaluation frameworks, and RAG/MCP patterns for LLM integration
- Ability to decompose complex workflows, identify root causes, and deliver scalable improvements with minimal supervision
- Strong written and verbal communication; able to convey technical concepts to credit and non-technical partners
- Strong cross-functional partnering across Banking, Trading, Underwriting, and Technology
Preferred Qualifications, Capabilities, And Skills
- Experience embedding AI and analytics into front-office workflows on AWS and enterprise systems; rapid prototyping in deal-driven environments
- Working knowledge of and background in CMBS/CRE origination, underwriting, securitization, surveillance, or structured credit modeling
- Familiarity with CMBS relative value analytics, financing facilities, collateral monitoring, and mark-to-market
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Job Description
Modernize how CMBS deals get done. Partner across Banking, Trading, Underwriting, and Technology to streamline workflows, strengthen data quality, and deploy AI-enabled tools that accelerate origination, execution, and asset management.
Job Summary
As an Analyst on the Quantitative Trading & Research team, you will be an embedded Quantitative Strategist within the CMBS business, applying AI engineering, analytics, and automation across the full deal lifecycle — origination, execution, portfolio monitoring, and reporting. You will have direct exposure to senior investment professionals and broad coverage of CRE finance and structured credit markets.
Job Responsibilities
- Build working knowledge of CMBS/CRE deal workflows; target high-impact automation opportunities
- Design and deploy ML/LLM solutions that reduce turnaround time, minimize errors, and sharpen analytical insight
- Build document-intelligence tools to summarize and extract structured data from legal, underwriting, and ac Materials
- Deliver controlled draft-generation workflows for front-office content (investment summaries, credit memos, IC materials) with human-in-the-loop review
- Build Python tools and data pipelines for market monitoring, deal sourcing, scenario analysis, and portfolio performance reporting
- Partner with Technology and business stakeholders to embed solutions into origination, distribution, risk, and asset-management systems, including third-party data platforms
Required Qualifications, Capabilities, And Skills
- Bachelor's or higher in a quantitative discipline (CS, Engineering, Data Science, Finance, Real Estate)
- 3+ years as a quantitative strategist or in a related role — quantitative finance, data engineering, or applying ML/LLMs to production workflows
- Strong Python; proven ability to build reliable tools and pipelines on a centralized data warehouse and platform framework
- Hands-on with structured and unstructured data; familiarity with vector databases, fine-tuning, evaluation frameworks, and RAG/MCP patterns for LLM integration
- Ability to decompose complex workflows, identify root causes, and deliver scalable improvements with minimal supervision
- Strong written and verbal communication; able to convey technical concepts to credit and non-technical partners
- Strong cross-functional partnering across Banking, Trading, Underwriting, and Technology
Preferred Qualifications, Capabilities, And Skills
- Experience embedding AI and analytics into front-office workflows on AWS and enterprise systems; rapid prototyping in deal-driven environments
- Working knowledge of and background in CMBS/CRE origination, underwriting, securitization, surveillance, or structured credit modeling
- Familiarity with CMBS relative value analytics, financing facilities, collateral monitoring, and mark-to-market
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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Mid Level Quantitative Analyst Jobs: Frequently Asked Questions
How do I get a mid level quantitative analyst job?
Position yourself around ownership, not just contribution. Highlight models or strategies you built and maintained independently, quantify their impact on risk, revenue, or efficiency, and show you can communicate findings to non-technical stakeholders. Mid level roles reward analysts who demonstrate they can take a problem from framing through deployment without being handed a blueprint.
Which companies hire mid level quantitative analysts?
Companies hiring mid level quantitative analysts right now include Citi, PIMCO, and Stradit, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large financial institutions, hedge funds, insurance carriers, and data-intensive technology firms that run dedicated quant teams.
Are there remote mid level quantitative analyst jobs?
Yes, though availability varies by employer and specialization. About 13% of mid level quantitative analyst openings are remote or hybrid as of September 2026, with hybrid arrangements most common at banks and asset managers that require some on-site collaboration. Fully remote roles appear most often at technology firms and smaller fintech operations.
How do I move up to a mid level quantitative analyst role?
The path from entry level to mid level is built on deepening one specialization, such as derivatives pricing, credit risk, or statistical arbitrage, while accumulating clear examples of independent project ownership. Measurable outcomes matter: analysts who can point to a model they improved, a process they automated, or a finding that changed a business decision consistently make the transition faster.
Which industries hire the most mid level quantitative analysts?
Mid Level quantitative analyst roles concentrate in Investment & Asset Management, Banking & Financial Services, and Energy, based on current listings on Migrate Mate as of September 2026. These sectors drive the most hiring because they rely on continuous model development, regulatory capital calculations, and data-driven portfolio or pricing decisions that require analysts who can work with real autonomy.