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Quantitative Engineer

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

About the Department / Team:
We strive for exceptional client outcomes through our comprehensive range of active, passive, and alternative investment capabilities - all designed to deliver excellence across asset classes, channels and geographies. We are one team comprised of diverse investment groups, underpinned by a global enabling platform

About the Role:

Invesco is seeking a Quantitative Engineer to support the development and maintenance of its Custom Equity Platform. This role sits at the intersection of technology, portfolio management, and quantitative research, offering hands-on exposure to portfolio construction and rebalancing workflows. You will work closely with portfolio managers, senior engineers, and researchers to enhance the automation, accuracy, and scalability of our proprietary portfolio management systems. This is an excellent opportunity for a motivated engineer to grow in a collaborative, production-oriented, and investment-savvy environment, with mentorship from experienced quantitative engineers and portfolio managers.

Responsibilities of the Role:

  • Contribute to the design and maintenance of Python-based tools and libraries for portfolio management, analytics, and operational workflows
  • Build and maintain data pipelines for structured financial data (e.g., holdings, benchmarks, transactions, prices, and risk exposures)
  • Collaborate with portfolio managers, researchers, and operations to support live rebalancing, tax analytics, and monitoring
  • Assist in implementing cloud-based workflows using AWS and Snowflake
  • Participate in testing, code reviews, and documentation to ensure code quality and maintainability
  • Support daily production processes and contribute to the stability and reliability of operational systems
Requirements of the Role:
  • Bachelor’s degree in Computer Science, Engineering, Financial Engineering, Mathematics, or a related technical field
  • 1–3 years of professional experience in software engineering, data engineering, or quantitative research
  • Internship or academic project experience working with production systems is a strong plus
  • Proficiency in Python, with experience using pandas, numpy, and related scientific libraries. Experience with Python parallelization (e.g., asyncio, concurrent.futures, joblib) is a plus.
  • Comfortable working with SQL for structured datasets; familiarity with Snowflake or similar data platforms is a plus
  • Exposure to version control (Git) and CI/CD pipelines; familiarity with Terraform and with workflow orchestration tools, such as Airflow (including managed deployments on AWS such as MWAA), is a plus
  • Interest in or willingness to learn cloud technologies, particularly AWS services (e.g., S3, Lambda, EC2, MWAA)
  • Basic understanding of software engineering principles (e.g., object-oriented design, modular development, testing practices)
  • Strong analytical thinking and attention to detail
  • Interest in financial markets and portfolio management workflows
  • Ability to communicate clearly across both technical and investment teams
  • Eagerness to learn, take initiative, and grow within a high-performance environment

The salary range for this position in New York City is $125,000 - $140,000 / 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 time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace 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.

Average salary estimate

$132500 / YEARLY (est.)
min
max
$125000K
$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, hybrid
DATE POSTED
September 22, 2025
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