Senior Predictive Liability Analytics Architect

Jobtailor; California (MO); On-site; USD 140,000 - 220,000; Full time

Job summary

BSRM is seeking a Senior Predictive Liability Analytics Lead to build next‑gen short‑term models of policyholder behavior, starting with annuity surrenders, withdrawals, and utilization. You will mentor by example and design models with GLMs/GAMs, survival methods, tree ensembles, and deep learning.

You'll leverage unstructured data with NLP/transformer features, pilot generative AI, and translate outputs for projection engines while collaborating with valuation/ALM teams and driving governance.

Qualifications

• 7+ years building production predictive models in insurance/long-duration liability.
• Experience with behavior modeling (surrender/utilization/lapse) and integration with projection engines.
• Strong Python/SQL coding with NLP/LLM and unstructured data experience.
• Clear, concise communicator with good documentation habits and governance.

Responsibilities

• Lead hands-on predictive liability analytics for short-term policyholder behavior.
• Build models for annuity surrenders, withdrawals, and utilization.
• Collaborate with FP&A, ALM, pricing, valuation and capital teams.

Skills

Python

ML/AI

SQL

R

Pandas/NumPy

scikit-learn

XGBoost/LightGBM

NLP/LLM

Databricks/Spark

PyTorch/TensorFlow

Communication

Model deployment

Education

Master’s/PhD in Statistics, Data Science/ML, Applied Math, CS, or Actuarial Science

Tools

Databricks

Snowflake

AWS/Azure

Tableau/Power BI

Job description

BSRM is seeking a Senior Predictive Liability Analytics Lead to build next‑gen short‑term models of policyholder behavior, starting with annuity surrenders, withdrawals, and utilization. You will mentor by example and design models with GLMs/GAMs, survival methods, tree ensembles, and deep learning.

You'll leverage unstructured data with NLP/transformer features, pilot generative AI, and translate outputs for projection engines while collaborating with valuation/ALM teams and driving governance.