Entry Level Quantitative Analyst Jobs
New grad quantitative analyst jobs connect recent graduates and entry level candidates with zero to two years of experience to roles where a strong portfolio or internship work can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Investment & Asset Management, Technology & Software, and Banking & Financial Services, with employers like Numerix, Citi, and Invesco hiring at this level now.
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About Invesco
As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
What’s in it for you?
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
Job Description
Quantitative Analyst, Municipal Fixed Income
Your Team
The Quantitative Analyst will be part of the broader quantitative team supporting Invesco Fixed Income. The team develops market research, data, models, and analytical tools that strengthen investment decision-making, portfolio construction, and risk management. This role will focus on municipal strategies and work closely with portfolio managers and credit researchers on market, portfolio, and security-level questions. The analyst will also partner with quantitative, technology, and data colleagues to build reliable data and reusable analytical capabilities.
Your Role
As a Quantitative Analyst, you will combine municipal market knowledge, quantitative analysis, and practical implementation to support portfolio managers and credit researchers. You will identify and evaluate investment questions involving relative value, portfolio positioning, risk, performance, and market structure and build the tools needed to test and apply your ideas. You will have end-to-end responsibility for the municipal data supporting this work, from understanding source systems and resolving discrepancies to producing controlled analytical datasets. The role requires curiosity about markets and an interest in the daily work of turning data and investment ideas into reliable, useful analytics.
You Will Be Responsible For:
- Generating and evaluating quantitative investment ideas related to municipal relative value, portfolio positioning, performance drivers, and market opportunities.
- Measuring portfolio exposures on an absolute and benchmark-relative basis, including interest-rate, yield-curve, spread, credit, liquidity, and optionality risks.
- Developing scenario and sensitivity analyses to assess how market changes could affect performance, volatility, distributions, and portfolio positioning.
- Investigating differences between expected and realized performance, distinguishing market and economic drivers from data or model issues, and communicating findings to portfolio managers and credit researchers.
- Evaluating leverage and funding risks, including tender option bond and variable-rate municipal term preferred exposures and their implications for total return, liquidity, and distributions.
- Managing municipal data end to end, including acquisition, definitions, transformations, timing, lineage, quality controls, reconciliation, and availability across systems such as Perform and Aladdin.
- Building and maintaining analytical tools and automated workflows for holdings, transactions, pricing, benchmarks, risk, and performance while reducing routine manual processing.
- Partnering with investment, quantitative, technology, and data colleagues to test new ideas, implement useful analytics, and contribute reusable data, methods, and code to the broader platform.
The Experience You Bring:
- Experience applying quantitative analysis to fixed-income markets, relative value, portfolio risk, performance attribution, or portfolio construction.
- Knowledge of municipal securities, market conventions, portfolio structures, benchmarks, and sources of risk, or relevant fixed-income experience and a demonstrated ability to develop new market expertise.
- Demonstrated ability to formulate investment or analytical questions and build practical tools, models, or applications to evaluate them.
- Strong hands-on Python and SQL skills, including experience working with complex datasets and automating analytical workflows.
- Experience investigating data from multiple systems, reconciling inconsistencies, establishing data-quality controls, and developing reliable analytical datasets.
- Familiarity with modern development practices and platforms such as Git or GitHub, cloud infrastructure, Snowflake, Databricks, or comparable technologies.
- Experience using AI-assisted research or development tools to explore ideas, develop code, test analytical approaches, or improve productivity.
- Strong judgment and communication skills, including the ability to connect technical analysis to market developments, portfolio exposures, and practical investment decisions.
The salary range for this position in New York City is 145,000 - 158,000 USD/year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location
Full Time / Part Time
Full timeWorker Type
EmployeeJob Exempt (Yes / No)
YesWorkplace Model
Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
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Entry Level Quantitative Analyst Jobs: Frequently Asked Questions
How do I get an entry level quantitative analyst job?
Entry level quantitative analyst roles reward candidates who can demonstrate applied skills. Employers at this stage look for proficiency in Python, R, or MATLAB, familiarity with probability and statistics, and at least one project or internship showing data-driven modeling. A GitHub portfolio with documented work, a relevant degree in mathematics, statistics, finance, or engineering, and clarity in communicating quantitative findings give candidates a clear edge over those with credentials alone.
Which companies hire entry level quantitative analysts?
Companies hiring entry level quantitative analysts right now include Numerix, Citi, and Invesco, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including investment banks, hedge funds, fintech startups, insurance carriers, and technology firms building data and risk modeling teams.
Are there remote entry level quantitative analyst jobs?
Yes, though many entry level roles still prefer on-site or hybrid arrangements to support early-career mentorship. About 14% of entry level quantitative analyst openings are remote or hybrid as of November 2026, with fully remote positions most common at fintech companies and technology-driven financial firms that have established distributed team structures.
Are these new grad quantitative analyst jobs?
Yes, these listings include new grad, recent graduate, and junior quantitative analyst roles alongside other entry level openings. A posting is typically new-grad friendly when it welcomes zero to two years of experience, counts internships or co-ops toward requirements, or accepts a strong academic project or portfolio in place of full-time work history. Searching for roles that list a bachelor's degree as the primary requirement is a reliable way to identify new grad opportunities.
Which industries hire the most entry level quantitative analysts?
Entry Level quantitative analyst roles concentrate in Investment & Asset Management, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. Those sectors drive hiring at this level because their core business functions, including risk assessment, portfolio management, pricing models, and algorithmic decision-making, depend on analysts who can apply quantitative methods to large datasets from the first day on the job.