Quantitative Developer; Machine Learning & AI

Position: Quantitative Developer (Machine Learning & AI)
What You'll DoJoin 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 DynamoDBDevelop 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, Tensor Flow, 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)$120000 - $165000 / 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…