Senior Quantitative Developer

Invesco Ltd.; Downers Grove (IL); Híbrido; USD 140 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible paid time off

Hybrid work schedule

401(K) matching of 100% up to 6%

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Resumo da oferta

Invesco seeks a quantitative analyst/developer to partner with Portfolio Management, Analysts, Operations and Technology to deliver data analytics, portfolio management technology solutions, and custom analysis.

You will build ETL pipelines, migrate to Snowflake, develop GUI front-ends, optimize R-based models, automate Python/R workflows, and maintain legacy processes. Requires strong math, finance knowledge, and hands-on experience with Python, R, SAS, SQL, and Excel.

Qualificações

• Bachelor’s degree in a quantitative field required.
• 2 years of experience in quantitative analyst/developer roles in finance.
• Experience with large datasets (1M+ rows, 30+ columns).
• Experience creating and maintaining ETL processes.
• Strong mathematical skills and knowledge of financial markets.
• Proficiency in Python, R, SAS; SQL; and Excel.

Responsabilidades

• Collaborate with Portfolio Management, Analysts, Operations and Technology to deliver data analytics, portfolio management technology solutions and custom analysis.
• Build and maintain ETL pipelines to gather data from multiple channels and normalize data in the data warehouse.
• Develop user-friendly GUI front-ends for non-technical users.
• Lead data migration to Snowflake cloud environment with no data loss.
• Perform optimizations in R and post-optimization analysis to reduce tracking error.
• Automate processes in Python and R to improve efficiency and reduce costs.
• Debug and fix legacy processes in Excel VBA, Python, and R.

Conhecimentos

Data analytics

ETL processes

Mathematical skills

Financial and Credit Markets knowledge

Python

R

SAS

SQL

Excel

Cloud migration - Snowflake

Formação académica

Bachelor’s degree in Math, Financial Engineering, Quantitative/Computational Finance or similar quantitative field

Ferramentas

Python

R

SAS

SQL

Excel

Snowflake

Descrição da oferta de emprego

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

Duties:

• Work closely with Portfolio Management, Analysts, Operations and Technology to provide data analytics, portfolio management technologysolutions and custom analysis, investment research and portfolio level reporting.
• Build and maintain efficient Extract, Load and Transform pipelines that facilitate the gathering of data from multiple channels at Invesco, ensuring its proper normalization in the team’s local data warehouse. Responsible for integration, management and accessibility of data within the team’s database system.
• Develop user-friendly GUI front-ends, allowing non-technical team members of the team to access application functionalities.
• Navigate the team through the firm-wide data migration movement and make it a seamless switch to the Cloud-based Snowflake environment while ensuring that there is no data lost.
• Conduct recurring optimizations in R and post-optimization analysis for the select funds to reduce tracking error within the applicable constraints.
• Automate the existing processes in Python and R to improve efficiency, reduce costs and eliminate errors.
• Debug and fix any issues in the team’s legacy processes written in Excel VBA, Python, R, etc.

Requirements:

• Must have a Bachelor’s degree or in Math, Financial Engineering, Quantitative/Computational Finance or similar quantitative field.
• Must have 2 years of experience in quantitative analyst/ developer positions in a finance-related industry utilizing/performing the following:
  • Working with large datasets of at least 1 million+ rows, 30+ columns
  • Creating and maintaining ETL processes.
  • Demonstrating strong mathematical skills
  • Knowledge of Financial and Credit Markets
  • Utilizing R, Python, and SAS for programming; SQL; and Excel
• Must have at least 1 year of experience with:
  • Applying understanding of portfolio management theories
  • Asset Management and Financial Products
• Salary range: $140,000 - $150,000

Salary range: $140,000 - $150,000

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.