- Experience in financial services or insurance ML — underwriting, actuarial, fraud, claims, or customer models — and familiarity with model risk management practices (e.g., SR 11-7-aligned validation).
- Familiarity with Databricks Mosaic AI, Feature Store / Unity Catalog features, or Vector Search, and with Azure Machine Learning.
- Experience applying responsible-AI and model-governance techniques — bias/fairness testing and explainability (e.g., SHAP, LIME).
- Experience with streaming or real-time inference and low-latency serving.
- Experience coaching or formally managing engineers.
- Advanced degree in a quantitative field.
- Relevant certification such as Databricks Certified Machine Learning Engineer or Microsoft Azure AI Engineer Associate.
Employee Benefits
We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits (e.g., paid time off, paid parental leave, short-term disability, and a cultural observance day).
The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective’s platform to improve wellbeing while earning cash rewards.
Eligibility for certain benefits may vary by position in accordance with the terms of the Company’s benefit plans.