Senior Level Quantitative Research Analyst Jobs
Senior level quantitative research analyst jobs place experienced professionals in charge of model architecture, research strategy, and the teams or workstreams that deliver results across complex portfolios. Roles are concentrated in Investment & Asset Management, Technology & Software, and Banking & Financial Services, with 41% remote or hybrid options available, and employers like Fidelity Investments, Two Sigma, and JPMorganChase hiring at this level now.
Find JobsOverview
Showing 5 of 68+ Senior Level Quantitative Research Analyst jobs
About the Role
The Quant team’s goal is to deliver industry-leading analytical insights that help financial advisors and investors managing their multi-asset portfolios and utilizing alternative assets, meet their long-term investment objects. The team consists of Quantitative Researchers and Quantitative Developers to research, define, and implement models that will guide clients in portfolio construction, asset allocation, and risk management. The team members have diverse backgrounds such as math, physics, economics, quantitative finance, computer science, and other science and engineering fields, and collaborate closely with business-side colleagues, platform architects, software developers, and product managers to deliver analytics through the software platform for the firm’s clients.
The Quant Developers have a core mission of developing robust and scalable quantitative models to deliver portfolio risk analytics capabilities as part of the firm’s commercial technology platform for financial advisors and asset managers. The team members will implement statistical, machine learning, and quantitative financial models, applied to a combination of proprietary, public, and third-party data, to deliver analytics for multi-asset portfolios including alternative assets.
Responsibilities
- Develop robust and scalable quantitative financial models and collaborate closely with quant researchers to produce proprietary risk analytics models as part of the firm’s software platform.
- Test, validate, and document quantitative methodologies to ensure accuracy, robustness, and transparency.
- Develop centralized financial calculation engines powering the firm’s commercial technology platform.
- Document and communicate quantitative methodologies and analytics to others including stakeholders and clients.
- Collaborate with other teams to ensure risk analytics are delivered through the software platform with excellent user experience.
- Collaborate regularly with other stakeholders and partners to solicit requirements, seek feedback and provide updates.
Qualifications
- 8+ years of professional experience in quantitative financial modeling, data science, or software development
- Strong programming skills in Python for data analysis, modeling, and software development
- Strong problem-solving and communication skills, with the ability to explain technical concepts to non-technical audiences
- Able to work in a dynamic and fast-paced environment
- Knowledge of JAVA/Scala/C++ is a plus
- Distributed Systems experience is a plus
- Experience with cloud services is a plus
Benefits
The base salary range for this role is $180,000 to $210,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
About the Role
The Quant team’s goal is to deliver industry-leading analytical insights that help financial advisors and investors managing their multi-asset portfolios and utilizing alternative assets, meet their long-term investment objects. The team consists of Quantitative Researchers and Quantitative Developers to research, define, and implement models that will guide clients in portfolio construction, asset allocation, and risk management. The team members have diverse backgrounds such as math, physics, economics, quantitative finance, computer science, and other science and engineering fields, and collaborate closely with business-side colleagues, platform architects, software developers, and product managers to deliver analytics through the software platform for the firm’s clients.
The Quant Developers have a core mission of developing robust and scalable quantitative models to deliver portfolio risk analytics capabilities as part of the firm’s commercial technology platform for financial advisors and asset managers. The team members will implement statistical, machine learning, and quantitative financial models, applied to a combination of proprietary, public, and third-party data, to deliver analytics for multi-asset portfolios including alternative assets.
Responsibilities
- Develop robust and scalable quantitative financial models and collaborate closely with quant researchers to produce proprietary risk analytics models as part of the firm’s software platform.
- Test, validate, and document quantitative methodologies to ensure accuracy, robustness, and transparency.
- Develop centralized financial calculation engines powering the firm’s commercial technology platform.
- Document and communicate quantitative methodologies and analytics to others including stakeholders and clients.
- Collaborate with other teams to ensure risk analytics are delivered through the software platform with excellent user experience.
- Collaborate regularly with other stakeholders and partners to solicit requirements, seek feedback and provide updates.
Qualifications
- 8+ years of professional experience in quantitative financial modeling, data science, or software development
- Strong programming skills in Python for data analysis, modeling, and software development
- Strong problem-solving and communication skills, with the ability to explain technical concepts to non-technical audiences
- Able to work in a dynamic and fast-paced environment
- Knowledge of JAVA/Scala/C++ is a plus
- Distributed Systems experience is a plus
- Experience with cloud services is a plus
Benefits
The base salary range for this role is $180,000 to $210,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
See All 68 Senior Level Quantitative Research Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level Quantitative Research Analyst Job Market
Who's Hiring
- Fidelity Investments7
- Two Sigma6
- JPMorganChase5
- Google4
- Goldman Sachs4
Top Industries Hiring
- Investment & Asset Management34
- Technology & Software13
- Banking & Financial Services10
- Fintech5
- Biotechnology & Pharmaceuticals5
Senior Level Quantitative Research Analyst Jobs: Frequently Asked Questions
How do I get a senior level quantitative research analyst job?
Employers at this level look for candidates who have moved beyond executing models to designing them, setting research direction, and influencing business decisions. Strong applications highlight ownership of end-to-end quantitative projects, experience presenting findings to senior stakeholders, and a demonstrated ability to mentor junior analysts. Proficiency in Python, R, or Julia combined with deep domain expertise in finance, risk, or a related field gives candidates a clear edge.
Which companies hire senior level quantitative research analysts?
Companies hiring senior level quantitative research analysts right now include Fidelity Investments, Two Sigma, and JPMorganChase, based on current listings on Migrate Mate as of July 2026. Hiring at this level is driven by financial services firms, asset managers, and technology-intensive organizations that rely on quantitative models to support high-stakes decisions.
Are there remote senior level quantitative research analyst jobs?
Yes, though availability varies by employer and function. About 41% of senior level quantitative research analyst openings are remote or hybrid as of July 2026, with fully remote roles more common at fintech firms and technology companies than at traditional banks or trading desks that prefer on-site collaboration.
What makes a quantitative research analyst role senior level?
Senior level roles are defined by scope and accountability rather than task execution. A senior quantitative research analyst owns the full research lifecycle, from problem framing and model design through validation and deployment. They set standards for analytical rigor, lead cross-functional projects, and mentor analysts at earlier career stages. Stakeholder influence and independent judgment under uncertainty are expected, not optional.
Which industries hire the most senior level quantitative research analysts?
Senior Level quantitative research analyst roles concentrate in Investment & Asset Management, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors generate the largest demand because they depend on sophisticated quantitative models to manage risk, allocate capital, price complex instruments, or extract signal from large datasets at scale.