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.
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
Macro & Quantitative Research is a central research group within Invesco Fixed Income. The team covers macro strategy, including U.S. rates and foreign exchange, quantitative portfolio management, systematic research, and quantitative infrastructure. We develop models, analytics, and research tools used by portfolio managers across fundamental credit, rates, securitized, multi-sector, and systematic investment teams. The team works collaboratively to translate investment research into practical portfolio applications.
Your RoleAs a Senior Quantitative Researcher, you will serve as a quantitative research partner to portfolio managers across Invesco Fixed Income. You will conduct empirical research on fixed income markets, macroeconomic drivers, and relative-value opportunities and translate your findings into portfolio construction, asset allocation, and risk-management applications. You will independently lead research projects from hypothesis development and testing through implementation and production deployment. You will work closely with portfolio managers, economists, traders, fundamental analysts, and quantitative engineers across the fixed income platform.
You Will Be Responsible For:- Conducting empirical research on fixed income markets, macroeconomic drivers, relative value, and cross-asset relationships and translating the findings into actionable investment frameworks.
- Building tactical and strategic sector and asset-allocation models across credit, rates, securitized products, and emerging markets that connect macroeconomic and market views to portfolio positioning.
- Designing and improving portfolio-construction and optimization frameworks for fundamental and systematic portfolios, incorporating transaction costs, liquidity, turnover, concentration, and other practical investment constraints.
- Developing risk, scenario-analysis, and performance-attribution tools that improve investment decision-making and provide transparency into return drivers, factor exposures, and tracking error.
- Partnering with portfolio managers, traders, economists, and other investment professionals to translate investment ideas into scalable research, analytics, and portfolio-implementation frameworks.
- Developing shared research tools, reusable analytical libraries, and data pipelines using production-quality code, version control, testing, documentation, and peer review.
- Supporting the research, design, and launch of new fixed income strategies and contributing to client-facing research, presentations, and investment materials.
- Leading defined research projects, mentoring junior colleagues, and contributing to consistent standards for research design, testing, documentation, and production implementation.
- Seven or more years of quantitative research experience in fixed income or multi-asset investing at an asset manager, hedge fund, bank, insurance company, pension fund, or index provider.
- A master’s degree or PhD in statistics, financial engineering, economics, operations research, mathematics, physics, computer science, or another relevant quantitative discipline.
- Advanced Python skills, including experience with analytical libraries such as pandas or Polars, NumPy, SciPy, and statsmodels, together with strong SQL skills and working knowledge of Git.
- Practical experience with factor models, time-series econometrics, portfolio optimization, and empirical investment research.
- Strong knowledge of fixed income instruments and risk, including duration, yield curves, credit spreads, credit quality, liquidity, and benchmark-relative risk.
- Experience taking quantitative research from hypothesis development and testing through implementation in a live investment or production environment.
- Ability to independently solve complex research problems, exercise sound judgment, evaluate alternative approaches, and clearly communicate recommendations.
- Ability to explain complex quantitative concepts to non-quantitative investment professionals, build consensus, and work effectively across fundamental, quantitative, and technical teams.
- Experience supporting fundamental fixed income portfolio managers or conducting multi-sector allocation research, including macro-conditioned models, risk budgeting, or long-horizon return forecasting.
- Systematic credit or rates experience involving bond-level factor signals, TRACE data, index-constituent data, liquidity analysis, or transaction-cost modeling.
- Experience with institutional risk and portfolio platforms such as Aladdin, Bloomberg PORT, BarraOne, or Axioma and fixed income data from providers such as Bloomberg or ICE.
- Experience applying machine-learning techniques with disciplined validation and economic interpretation in noisy financial datasets.
- Familiarity with cloud data platforms, scalable quantitative research environments, and AI-assisted development and research tools.
- CFA designation or progress toward the designation.
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.
Skills Required
- Seven or more years of quantitative research experience in fixed income or multi-asset investing
- Master’s degree or PhD in statistics, financial engineering, economics, operations research, mathematics, physics, computer science, or another relevant quantitative discipline
- Advanced Python skills, including pandas or Polars, NumPy, SciPy, and statsmodels
- Strong SQL skills
- Working knowledge of Git
- Experience with factor models, time-series econometrics, portfolio optimization, and empirical investment research
- Strong knowledge of fixed income instruments and risk, including duration, yield curves, credit spreads, credit quality, liquidity, and benchmark-relative risk
- Experience taking quantitative research from hypothesis development and testing through implementation in a live investment or production environment
- Ability to independently solve complex research problems, exercise sound judgment, evaluate approaches, and communicate recommendations
- Ability to explain quantitative concepts to non-quantitative investment professionals and collaborate across teams
- Experience supporting fundamental fixed income portfolio managers or conducting multi-sector allocation research
- Systematic credit or rates experience involving bond-level factor signals, TRACE data, index-constituent data, liquidity analysis, or transaction-cost modeling
- Experience with Aladdin, Bloomberg PORT, BarraOne, or Axioma
- Experience with Bloomberg or ICE fixed income data
- Experience applying machine-learning techniques with disciplined validation and economic interpretation
- Familiarity with cloud data platforms, scalable quantitative research environments, and AI-assisted development tools
- CFA designation or progress toward the designation
Invesco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Invesco and has not been reviewed or approved by Invesco.
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Retirement Support — Retirement programs emphasize a strong 401(k) design with immediate eligibility and match vesting, alongside references to employer contributions that support long-term savings. Materials position retirement offerings as a core element of a comprehensive total-rewards package.
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Parental & Family Support — Parental leave is positioned as a robust offering in the U.S. and EMEA, with detailed paid-leave durations previously disclosed and an emphasis on inclusive, gender-neutral policies. Company information indicates broad parental-leave availability as part of total rewards, subject to local specifics.
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Leave & Time Off Breadth — Paid time off and holidays are highlighted as meaningful components of the package, with flexibility noted in some areas. Feedback suggests certain U.S. exempt roles use flexible or “unlimited” PTO approaches that enhance practical time-off access.
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What We Do
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