Director - Quantitative Research, Private Markets

Principal Financial Group-posted 2 months ago
$153,000 - $207,000/Yr
Full-time • Senior
Des Moines, IA
5,001-10,000 employees
Funds, Trusts, and Other Financial Vehicles
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We're looking for a Director of Quantitative Research - Private Markets to join our Asset Management team. In this role, you'll lead AI-driven decision support systems across Private Markets while enabling and mentoring a high-performing team of quantitative research and development professionals. Advance investment performance by connecting house views on forward macro signals to production-grade statistical and ML models that power underwriting, pricing, risk, and capital allocation. Inspire organizational change to accelerate adoption-codify operating playbooks, training, and success metrics-delivering measurable performance lift and enhanced thought capital!

  • Define and execute AI/ML research roadmap.
  • Drive innovation in connecting economic views to investment strategy.
  • Lead the design, validation, and continuous improvement of AI-driven decision systems that deliver measurable business impact.
  • Strengthen the enterprise model governance framework to ensure transparency, compliance, and performance.
  • Drive the implementation model risk management practices, including robust testing, backtesting, and validation protocols.
  • Lead groundbreaking research and drive the publication of thought leadership through white papers and industry forums.
  • Lead the research, due diligence, and implementation of AI - including GenAI - within the investment process.
  • Build, lead, and inspire a high-performing quantitative R&D team.
  • Recruit top talent and invest in their growth through hands-on mentorship and professional development.
  • Oversee design and code reviews, streamline day-to-day operations, and remove barriers to accelerate productivity and impact.
  • MS/PhD in a quantitative field (Statistics, Applied Math, Operations Research, etc.) or equivalent experience.
  • 8-12 years building statistical/ML models in Python.
  • Experience with production on at least one of AWS Sagemaker, Databricks (Spark / MLflow), Azure ML, or GCP VertexAI.
  • Experience with CI/CD, containers, and model registries.
  • Clear and influential communicator who can translate complex model results into actionable insights.
  • Ability to deliver explainability and attribution with confidence.
  • Empathetic and precise leadership style.
  • Deep understanding of financial markets and instruments.
  • CFA charterholder (or Level II/III progress) a plus.
  • Private-markets experience in PE, Private Credit, or Real Assets.
  • Flexible Time Off (FTO) for salaried employees.
  • Pension eligibility.
  • Opportunity to participate in a bonus program.
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