Mid Level Senior Quantitative Researcher Jobs
Mid level senior quantitative researcher jobs go to researchers ready to own model development end to end, drive analytical decisions with limited oversight, and mentor junior colleagues on methodology. Openings are spread across on-site, hybrid, and remote settings in Investment & Asset Management, Fintech, and Technology & Software, with employers like JPMorganChase, d-Matrix, and Adams Street Partners hiring at this level now.
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INTRODUCTION
Adams Street Partners (“Adams Street”) is a global private markets investment manager that has nearly $76 billion* in assets under management. The firm is 100% employee-owned, which fosters a positive and unique culture of collaboration, intellectual rigor, integrity, and a commitment to professional development. For the eighth year in a row, Adams Street was named one of Pension & Investments’ Best Places to Work in Money Management in 2025. Employees operate as a single global team, integrating the expertise of the firm’s investment professionals across five strategies: primary investments, secondary investments, growth equity, private credit, and co-investments. Adams Street is considered a private markets pioneer and was inducted into the Private Equity Hall of Fame in 2000. The firm was founded more than 50 years ago, and clients include leading public and corporate pension plans, foundations, endowments, insurance companies, registered investment advisors, and high net worth individuals worldwide. Adams Street has offices in Abu Dhabi, Austin, Beijing, Boston, Chicago, Hong Kong, London, Munich, Menlo Park, New York, Seoul, Singapore, Sydney, Tokyo and Toronto. * As of June 30, 2026. Adams Street Partners’ methodology to calculate Assets Under Management (AUM) is based on fund net asset value (NAV), plus unfunded commitments, plus leverage, but excluding the effect of subscription lines of credit. The prior AUM methodology was based on investor commitments minus commitments to fully liquidated underlying partnerships. Such change in methodology was effective July 2026; however, for periods shown prior to December 31, 2025, Adams Street continues to use the previous methodology. This updated methodology more closely aligns with (i) the amount of assets managed on behalf of investors and (ii) the amount of capital available to make direct and/or partnership investments. Amounts stated by investment advisers in regulatory filings (“regulatory AUM”) have a prescribed methodology, which may, in some circumstances, differ from the methodology such adviser uses for other purposes, including marketing efforts. Additional information is available upon request.
Team Overview
The Investment Strategy and Risk Management (ISRM) team is responsible for oversight of and input into the top-down portfolio construction of the Firm’s portfolios and ensuring client portfolios appropriately capture the Firm’s bottom-up investment recommendations. This is a highly visible role which will feature interaction with Senior Management across various investment teams as well as the client-facing part of the organization.
Key Responsibilities
- Design and build statistical models to evaluate alternative datasets, assess portfolio risk, and optimize investment strategies for illiquid assets, including private equity and private debt.
- Translate complex private markets data into actionable, client-ready insights for internal stakeholders and external clients.
- Integrate, clean, and analyze large and complex datasets, including alternative investment datasets that may be unstructured or imperfect.
- Identify value drivers, market behaviors, and trends that can inform investment decision-making.
- Develop advanced analytic models, scenario analyses, and simulation-based frameworks, including Monte Carlo simulations, to support risk-aware portfolio construction and investment processes across subclasses, strategies, and products.
- Generate original, proprietary research and develop clear, concise white papers, presentations, and other materials for internal stakeholders and external clients.
- Partner with software developers, Data Management, IT, and model validation teams to deploy quantitative code and analytics.
- Maintain and enhance existing analytic applications and support the use of analytic models for marketing, client service, and investment-related use cases.
- Work closely with technical and non-technical stakeholders to develop solutions for ISRM and other internal consumers.
- Collaborate with existing technical resources to optimize where data is stored, how it is accessed, and how end users can effectively leverage data and analytics.
- Manage multiple workflows and projects, including tracking dependencies, deliverable dates, milestones, and stakeholder inputs.
- Prioritize and execute work independently while maintaining accuracy, quality, and timeliness.
Candidate Requirements
We seek an individual who is self-disciplined, demonstrates excellent attention to detail and has the following characteristics:
- Advanced degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a similar quantitative field.
- CFA® charterholder preferred but not required.
- Background in quantitative finance, financial engineering, or quantitative modeling strongly preferred.
- 5–10 years of relevant experience in a quantitative role within asset management.
- Minimum of 2 years of experience involving private markets investment processes and portfolios, such as private equity or private debt.
- Strong quantitative, analytical, critical thinking, and problem-solving skills, with the ability to apply robust statistical techniques to large, complex, and imperfect datasets.
- Exposure to quantitative or statistical modeling techniques used in portfolio analytics, forecasting, and risk management.
- Strong programming capabilities, including proficiency in Python, R, SQL, and/or C++.
- Experience with common database and software platforms required.
- Familiarity with machine learning and AI workflows preferred.
- Strong understanding of investment management concepts, including accounting principles, portfolio theory, equity valuation, factor models, asset allocation, portfolio optimization, liquidity risk management, and performance measurement.
- Familiarity with private investment vehicles and the considerations involved in managing private capital strongly preferred.
- Ability to translate technical methodologies into clear, commercial, and client-oriented insights.
- Demonstrated experience communicating and collaborating across multiple internal and external stakeholders, including technical and non-technical audiences.
- Ability to manage priorities independently, maintain accuracy under tight deadlines, and drive projects from concept through execution.
- Experience directing and managing support staff a plus.
We offer a competitive U.S. benefits package designed to support health, financial security, and work-life balance. Highlights include medical, dental, and vision coverage; a 401(k) with immediate vesting and employer match; profit sharing; flexible spending accounts (FSA); and paid parental leave, including adoption. Employees also receive generous paid time off, commuter benefits, employer-paid short- and long-term disability and life insurance, and access to additional voluntary benefits.
LOCATION
Illinois Pay Transparency $175,000—$250,000 USD
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Mid Level Senior Quantitative Researcher Jobs: Frequently Asked Questions
How do I get a mid level senior quantitative researcher job?
Position your existing work around ownership and impact: highlight models you built and deployed independently, research questions you scoped yourself, and decisions your analysis directly informed. Emphasize proficiency in statistical modeling, programming languages like Python or R, and any cross-functional collaboration. Applications that show you can operate with limited oversight and produce defensible, reproducible results stand out most at this level.
Which companies hire mid level senior quantitative researchers?
Companies hiring mid level senior quantitative researchers right now include JPMorganChase, d-Matrix, and Adams Street Partners, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from firms with established research functions, including financial services, technology companies, and data-intensive enterprises that need researchers who can work independently on complex quantitative problems.
Are there remote mid level senior quantitative researcher jobs?
Yes, remote and hybrid options are widely available at this experience level. About 13% of mid level senior quantitative researcher openings are remote or hybrid as of September 2026, reflecting the nature of quantitative research work, which centers on computation, modeling, and analysis that translates well across distributed team environments.
How do I move up to a mid level senior quantitative researcher role?
The path from entry level to mid level in quantitative research runs through deepening technical specialization and expanding ownership. Early-career researchers grow by moving from executing assigned analyses to scoping and completing projects independently, building expertise in a domain such as risk modeling, experiment design, or machine learning, and demonstrating that their outputs drive measurable decisions. Consistent delivery on progressively complex problems is the clearest signal.
Which industries hire the most mid level senior quantitative researchers?
Mid Level senior quantitative researcher roles concentrate in Investment & Asset Management, Fintech, and Technology & Software, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring because they rely on rigorous quantitative methods to price risk, optimize systems, or extract strategic insight from large datasets, creating sustained demand for researchers who can work independently at scale.