Investment Management F-1 STEM OPT Sponsorship Jobs in Iowa
Investment management F-1 STEM OPT sponsorship jobs in Iowa are concentrated in Des Moines, the state's financial hub, where firms like Principal Financial Group, Nationwide, and Wellmark manage significant assets. Quantitative analyst, risk modeling, and data-driven portfolio roles in this sector commonly qualify for STEM OPT work authorization, making Iowa a practical destination for international finance graduates.
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Get Access To All JobsGenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
GenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Investment Management Job Roles in Iowa
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Search Investment Management Jobs in IowaInvestment Management Jobs in Iowa: Frequently Asked Questions
Which investment management companies sponsor F-1 STEM OPT visas in Iowa?
Des Moines-based firms are the primary sponsors in Iowa. Principal Financial Group, which manages hundreds of billions in assets, has a consistent record of hiring quantitative and analytical roles on STEM OPT. Nationwide and Wellmark also hire for data-intensive positions. Smaller registered investment advisers and insurance-linked asset managers in the Des Moines metro additionally sponsor STEM OPT workers, particularly for roles involving financial modeling, risk analytics, and investment operations.
Which cities in Iowa have the most investment management F-1 STEM OPT sponsorship jobs?
Des Moines is by far Iowa's primary city for investment management STEM OPT opportunities, housing the headquarters of several major insurance and asset management firms. West Des Moines and Ankeny, as suburban extensions of the metro, also host corporate offices with relevant openings. Cedar Rapids has a smaller but active financial services sector. Outside the Des Moines metro, STEM OPT-eligible investment management roles are significantly less common.
What types of investment management roles typically qualify for F-1 STEM OPT sponsorship?
Roles with a strong quantitative, data science, or technology component are the most consistent STEM OPT qualifiers in investment management. These include quantitative analyst, investment risk analyst, portfolio analytics associate, financial data engineer, and actuarial analyst positions. The role must fall under a STEM-designated Classification of Instructional Programs code tied to your degree. Fields such as applied mathematics, statistics, financial engineering, and computer science commonly satisfy this requirement for investment management positions in Iowa.
How do I find investment management F-1 STEM OPT sponsorship jobs in Iowa?
Migrate Mate filters investment management job listings specifically for F-1 STEM OPT eligibility in Iowa, surfacing employers with verified STEM OPT sponsorship history rather than requiring you to manually confirm each company's willingness to sponsor. You can search by role type and metro area, which is especially useful for narrowing results to the Des Moines market. Reviewing employer DOL Labor Condition Application filings through the OFLC Wage Search tool can also help you verify which firms have recent STEM OPT activity.
Are there state-specific or industry-specific considerations for F-1 STEM OPT sponsorship in Iowa's investment management sector?
Iowa's investment management industry is heavily tied to insurance and annuity asset management, which shapes the types of STEM OPT roles available. Many positions require actuarial, risk modeling, or regulatory compliance skills that align with insurance-adjacent finance. Iowa does not impose additional state-level work authorization requirements beyond federal USCIS rules, but employers in regulated financial services may require FINRA licensing or background checks that can extend onboarding timelines. Confirming your OPT end date and STEM OPT extension eligibility before applying is advisable.