Senior Fixed-Income Quant & Research Lead

Invesco EMEA; Atlanta (GA); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Hybrid work schedule

401(K) matching & stock purchase plan

Health & wellbeing benefits

Parental Leave

Job summary

Invesco is seeking a Senior Quantitative Researcher to advance empirical research across fixed income markets and macro drivers. You will translate findings into portfolio construction, asset allocation, and risk-management applications, leading projects from hypothesis to production and mentoring juniors.

You will collaborate with economists, traders, and engineers, utilizing production-quality code and data pipelines while leveraging toolsets like Aladdin and Bloomberg PORT.

Qualifications

• Master’s degree or PhD in statistics, financial engineering, economics, operations research, mathematics, physics, computer science, or another quantitative field.
• Advanced Python skills with libraries (pandas/Polars, NumPy, SciPy, statsmodels) and strong SQL + Git.
• Practical experience with factor models, time-series econometrics, portfolio optimization, and empirical investment research.

Responsibilities

• Conduct empirical research on fixed income markets, macro drivers, and relative-value opportunities and translate findings into portfolio construction, asset allocation, and risk-management tools.
• Lead defined research projects from hypothesis development to production deployment and mentor junior colleagues.
• Develop reusable analytical libraries and data pipelines with production-quality code, version control, testing, and documentation.

Skills

Python (pandas/Polars)

SQL

Git

Factor models

Time-series econometrics

Portfolio optimization

Fixed income knowledge

Research leadership

Education

Master's degree or PhD in a quantitative field

CFA designation or progress toward

Tools

Aladdin

Bloomberg PORT

BarraOne

Axioma

Job description

Invesco is seeking a Senior Quantitative Researcher to advance empirical research across fixed income markets and macro drivers. You will translate findings into portfolio construction, asset allocation, and risk-management applications, leading projects from hypothesis to production and mentoring juniors.

You will collaborate with economists, traders, and engineers, utilizing production-quality code and data pipelines while leveraging toolsets like Aladdin and Bloomberg PORT.