Investment Management STEM OPT Jobs in Illinois
Investment management F-1 STEM OPT sponsorship jobs in Illinois are concentrated in Chicago's financial district, where firms like Morningstar, Northern Trust, and Citadel employ quantitative analysts, data scientists, and risk modelers. Illinois's depth as a derivatives and asset management hub makes it one of the stronger states for STEM-designated roles that qualify for OPT extension.
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Get Access To All JobsAbout 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 Role:
We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives.
This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions that support both technology-owned platforms and business-driven workflows (e.g., co-developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards.
You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production-grade solutions and reducing operational risk. The role requires a hands-on mindset, strong ownership, and the ability to collaborate across global teams.
Responsibilities of the Role:
- AI‑accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.
- Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem.
- Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems.
- Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines.
- Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.
- Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.
- Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).
- Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.
- Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks.
- Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.
- Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI assisted development.
- Participate in production support and on-call rotation as needed.
Requirements of the Role:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 3+ years of hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
- 3+ years of Python experience, including data processing, APIs, or service-based architecture.
- 3+ years of SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.
- AI‑assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration—plus the ability to evaluate/correct AI‑generated code for security, performance, and maintainability.
- Strong understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).
- Experience with cloud-native development (AWS) and containerized environments.
- Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).
- Experience with CI/CD, DevOps practices, and automated testing.
- Exposure to portfolio analytics, risk models, or investment workflows preferred.
- Strong problem-solving skills and the ability to operate in a fast-paced, high-impact environment.
Formal Education:
- Bachelor’s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred.
- CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required.
The salary range for this position in Downers Grove, IL is $135,000 - $145,000 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.
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 Role:
We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives.
This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions that support both technology-owned platforms and business-driven workflows (e.g., co-developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards.
You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production-grade solutions and reducing operational risk. The role requires a hands-on mindset, strong ownership, and the ability to collaborate across global teams.
Responsibilities of the Role:
- AI‑accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.
- Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem.
- Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems.
- Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines.
- Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.
- Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.
- Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).
- Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.
- Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks.
- Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.
- Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI assisted development.
- Participate in production support and on-call rotation as needed.
Requirements of the Role:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 3+ years of hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
- 3+ years of Python experience, including data processing, APIs, or service-based architecture.
- 3+ years of SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.
- AI‑assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration—plus the ability to evaluate/correct AI‑generated code for security, performance, and maintainability.
- Strong understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).
- Experience with cloud-native development (AWS) and containerized environments.
- Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).
- Experience with CI/CD, DevOps practices, and automated testing.
- Exposure to portfolio analytics, risk models, or investment workflows preferred.
- Strong problem-solving skills and the ability to operate in a fast-paced, high-impact environment.
Formal Education:
- Bachelor’s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred.
- CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required.
The salary range for this position in Downers Grove, IL is $135,000 - $145,000 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.
STEM OPT Investment Management Job Roles in Illinois
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Search Investment Management Jobs in IllinoisInvestment Management STEM OPT Sponsorship Jobs in Illinois: Frequently Asked Questions
Which investment management companies sponsor F-1 STEM OPT visas in Illinois?
Illinois-based firms with histories of sponsoring STEM OPT workers in investment management include Morningstar, Northern Trust, Citadel, Baird, and William Blair. Larger asset managers and quantitative trading firms filing Labor Condition Applications with the DOL tend to have established OPT sponsorship workflows. Checking DOL OFLC disclosure data by employer name gives a clearer picture of which firms actively file for these roles.
Which cities in Illinois have the most investment management F-1 STEM OPT sponsorship jobs?
Chicago accounts for the overwhelming majority of investment management STEM OPT sponsorship opportunities in Illinois. The Loop and River North financial districts house most major asset managers, hedge funds, and derivatives firms. Suburbs such as Schaumburg and Downers Grove host some financial services operations, but for investment management roles with active STEM OPT sponsorship, Chicago proper is where hiring is concentrated.
What types of investment management roles typically qualify for F-1 STEM OPT sponsorship?
Roles that typically qualify carry STEM degree classifications classified under STEM by ICE, including quantitative analyst, data scientist, financial engineer, risk analyst, and investment technology developer. Positions requiring a bachelor's or advanced degree in mathematics, statistics, computer science, or financial engineering are most consistently STEM-designated. Portfolio management and client-facing advisory roles may not qualify unless the underlying degree and STEM degree classification align with ICE's STEM list.
How do I find investment management F-1 STEM OPT sponsorship jobs in Illinois?
Migrate Mate lets you filter investment management jobs in Illinois specifically by F-1 STEM OPT sponsorship, showing employer LCA filing history so you can identify firms that have sponsored comparable roles before. This is more reliable than applying broadly and asking about sponsorship later. Focus your search on quantitative, data, and technology-oriented roles at Chicago-based asset managers, where STEM OPT eligibility is most commonly established.
Are there any Illinois-specific or industry-specific considerations for F-1 STEM OPT sponsorship in investment management?
Illinois does not impose state-level restrictions on OPT employment, but investment management firms in Chicago often require FINRA licensing for certain roles, which can complicate the OPT timeline since licensing exams take time. Some firms also require Series 3 or Series 65 registration for trading-adjacent roles. Confirming that a role's STEM degree classification appears on the ICE STEM Designated Degree Program list before accepting an offer is essential, as not all finance-labeled positions qualify.