About this opportunity
Principal Financial Group lists this Quantitative Developer (Machine Learning & AI) opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
What You'll Do
Join Principal Asset Management’s Private Markets Research & Analytics team as a Quantitative Developer to scale machine learning and AI solutions that support investment decisions, risk management, and portfolio performance.
You’ll work with investment professionals, quantitative researchers, data engineers, and software engineers to turn business needs and research models into reliable, production-ready solutions.
You’ll have the opportunity to
Operationalize machine learning solutions that support investment decisions
Build scalable, cloud-native ML workflows using AWS services such as Lambda, Step Functions, S3, and DynamoDB
Develop data validation, feature engineering, model evaluation, and forecast-quality controls
Support forecasting, risk management, portfolio optimization, and performance measurement across private-market strategies
Integrate generative AI and large language models into secure business workflows and research platforms
Accelerate experimentation, deployment, and adoption of scalable, audit-friendly AI solutions
Evaluate emerging technologies that may strengthen Principal Asset Management’s competitive position
Contribute to internal research, technical thought leadership, and publications
About Principal Asset Management
Principal Asset Management is the global investment solutions business for Principal Financial Group® (Nasdaq: PFG), managing about $740 billion in assets and over 60 years of experience. Principal Asset Management has been recognized as a \"Best Places to Work in Money Management\" for 14 consecutive years!
Who You Are
Bachelor's degree in a STEM field plus 8+ years of related experience, or a Master's degree in a related field plus 2+ years of related experience
Experience deploying and supporting production-grade machine learning or forecasting systems
Strong Python skills and experience with Scikit-learn, TensorFlow, PyTorch, Spark ML, or similar frameworks
Experience with ML operations, including orchestration, artifact management, automated evaluation, continuous integration and deployment, and cloud operations
Knowledge of data structures, software architecture, data modeling, and scalable application design
Ability to take ownership and move projects from concept through implementation
Strong communication and collaboration skills across technical and business teams.
Curiosity and a commitment to learning and applying new technologies
Skills That Will Help You Stand Out
Experience operationalizing scenario-based or time-series forecasting models
Experience integrating generative AI or large language models into secure workflows
Knowledge of asset management, financial services, private real estate, or alternative investments
Experience contributing to research publications, technical papers, or industry thought leadership
Salary Range Information
Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)
$ - $ / year
Salary Details
The base salary range for this role is $120,000 - $165,000. Final compensation will reflect the candidate’s skills, experience, and alignment with the role.
This role also participates in an annual profit-share bonus plan.
Time Off Program
Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don’t accrue a bank of time off under FTO and there is no set number of days provided.
Pension Eligible
No
Work Environments
This role follows a hybrid work arrangement, with at least three days per week in the Des Moines, Iowa, or Chicago, Illinois office.
Work Authorization/Sponsorship
At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.
Nonimmigrant Workers and Green Card for Employment-Based Immigrants
Investment Code of Ethics
For Principal Asset Management positions, you’ll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.
Experience Principal
At Principal, we value connecting on both a personal and professional level. Together, we’re imagining a more purpose-led future for financial services - and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.
Principal is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.