Senior Predictive Liability Analytics Lead

Corebridge Financial Services

Woodland Hills, California, United States
$190,000 to $210,000; bonus: discretionary bonus; ...
Hybrid
Predictive and semi-structural models
Glms/gams, survival & hazard models
Tree ensembles, deep learning
You’ll build next-gen short-term models of policyholder behavior starting with annuity surrenders, withdrawals, and utilization

Job Summary

  • You’ll build next-gen short-term models of policyholder behavior starting with annuity surrenders, withdrawals, and utilization.
  • You’ll collaborate with other stakeholders such as financial planning, ALM, pricing, valuation and capital as appropriate.
  • Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below.

Matching Summary

You’ll build next-gen short-term models of policyholder behavior starting with annuity surrenders, withdrawals, and utilization.

Salary

$190,000 to $210,000; Bonus: discretionary bonus; Benefits: competitive benefits

Skills & Requirements

Must-have

  • predictive and semi-structural models
  • GLMs/GAMs, survival & hazard models
  • tree ensembles, deep learning
  • NLP/transformer embeddings, RAG pipelines
  • generative-AI, foundation models
  • Python, SQL, Databricks/Spark, AWS
  • MLflow, Git, containers, batch/API serving

Nice-to-have

  • collaboration across enterprise
  • learn, improve and innovate
  • inclusive and diverse perspectives
  • mentoring by example
  • balance accuracy, interpretability

Key Requirements

  • Master’s/PhD in Statistics, Data Science/ML, Applied Math, Computer Science, or Actuarial Science
  • 7–10+ years building production predictive models
  • insurance/annuity or long-duration liability exposure
  • Practical wins in behavior modeling
  • Comfortable spanning structured + unstructured data
  • Clear, concise communicator
  • Work Location: Woodland Hills or New York office

Work Rights

Not specified

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