A leading commercial trucking insurtech in New York is seeking an analytical Actuarial/Data Science professional to enhance reserving and predictive modeling capabilities. This role involves developing Python-based models, using telematics and claims data to influence pricing and mitigate risks. Candidates should possess strong experience in insurance analytics, machine learning techniques, and SQL. A competitive salary package, including bonuses and benefits, is offered to the right candidate.
Qualifications
Experience in insurance analytics or actuarial modeling.
Proficiency in Python for statistical modeling.
Experience with large-scale datasets and analytical models.
Ability to design models for pricing and risk management.
Responsibilities
Improve end-to-end reserving process with Python models.
Develop predictive models for risk selection.
Design dynamic pricing frameworks using data.
Translate data insights into business recommendations.
Automate reporting and analysis workflows.
Skills
Insurance analytics
Actuarial modeling
Predictive risk modeling
Python
AI-assisted coding
Large-scale datasets
Machine learning techniques
SQL
Education
Actuarial qualification or degree in Mathematics
Tools
Python
SQL
Job description
A leading commercial trucking insurtech in New York is seeking an analytical Actuarial/Data Science professional to enhance reserving and predictive modeling capabilities. This role involves developing Python-based models, using telematics and claims data to influence pricing and mitigate risks. Candidates should possess strong experience in insurance analytics, machine learning techniques, and SQL. A competitive salary package, including bonuses and benefits, is offered to the right candidate.