C

Machine Learning Specialist

CAIS

New This Week
Data ScienceWealth ManagementSenior (6-10 yrs)HybridFintech Startup

Ideal for ML engineers wanting to apply deep learning and predictive modeling to wealth management and alternative investments.

AI → Finance

Location

New York, NY

Salary Range

$275,000 – $345,000

Posted

Mar 19, 2026

Build ML models for portfolio optimization, risk analysis, and recommendation systems at the leading alternative investments platform for wealth advisors.

## About the Role CAIS is the leading alternative investment platform for financial advisors, supporting over 50,000 advisors who oversee more than $6 trillion in network assets. As a Machine Learning Specialist, you will develop predictive models using structured and unstructured data to shape the future of alternative investment technology. ## Responsibilities - Develop predictive models for portfolio optimization, recommendation systems, propensity models, lead scoring, time series forecasting, and risk analysis - Write production-grade code and deploy models in cloud environments - Monitor model performance and conduct A/B testing - Collaborate cross-functionally on data-driven product initiatives - Stay current with AI advancements and apply emerging techniques ## Requirements - Master's degree in Mathematics, Statistics, Data Science, Physics, or related field - 4+ years developing and deploying production ML models - Python expertise with strong data structures knowledge - Deep learning frameworks (PyTorch, Transformers, VAE, diffusion models) - Cloud deployment expertise including Kubernetes, Docker, and cloud ML platforms - Statistical modeling proficiency (scikit-learn, SciPy) - 5 years professional experience; financial services or investment management experience preferred

Skills & Technologies

PythonPyTorchdeep learningKubernetesDockerstatistical modelingportfolio optimizationrecommendation systems

Best Backgrounds

  • machine learning engineering
  • data science
  • quantitative analytics
  • applied mathematics

Related Titles to Explore

  • ML Engineer
  • Data Scientist
  • Applied Scientist
  • Quantitative Analyst

Interested in this role?

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