Senior Predictive Modeler

Argo Group is a leader in specialty insurance with a vibrant culture built on respect, equality, wellness and opportunity. We’re an innovative organization that’s small enough to be agile and big enough to make a difference in our industry.  

Our collaborative workplace is continuously evolving to ensure all employees feel: 

• Comfortable bringing their whole selves to work. 
• Confident that they will be treated respectfully. 
• Recognized for their performance and provided with equal opportunities to succeed. 

At Argo, skill meets opportunity. If you’re wired to raise your hand and ask, “Where can I help?”, you’ll thrive with us. 

The Senior Predictive Modeler will build predictive models to drive “best in class” underwriting and portfolio management across all business units. This a fully on-site position which can be located in our New York office.

 

How you will have an impact:

 

You will implement successful predictive modeling solutions by working collaboratively with Underwriting, IT and Operations as needed. Additional responsibilities include facilitating the buy-in of underwriters and business leaders of predictive modeling by improving knowledge and understanding of model insights. Responsible for modeling projects throughout their lifecycle: data work, reconciliation, problem articulation, modeling, communication, delivery, and monitoring. Will mentor junior modelers on data preparation, programing, modeling, and visualization skills.

 

Data Science Initiatives:

• Leads the strategic and tactical planning, development, evaluation, and coordination of the information and technology systems, as appropriate, for the Actuarial department (Pricing & Reserving functions).
• Lead the development, maintenance, and enhancement of analytics, data management, modeling analyses, and ad hoc work products into system-based solutions.
• Create data sets to be used by the Actuarial department that combine multiple complex data sources into a format that is suitable for analysis.
• Lead the team in the architecture/design and building of new automated solutions and procedures for the Actuarial department.
• Train users of new and enhanced system solutions, tools, and advanced data, specific to daily tasks.
• Act as liaison for the Actuarial department on enterprise-wide information technology discussions. Maintain current knowledge of trends and products in the system technology industries and address the need to develop of new methods, products, and procedures.
• Acts as subject matter expert on internal data sources and data collection applications (both claims and underwriting) and their impact on actuarial tools and work products.
• Work closely with underwriters and Data Analytics to understand best framework for deploying data insights.
• Work cooperatively in a team environment with other functions:  Underwriting, Claims, Finance, Reserving, IT, etc.

 

Qualification:

• Bachelor’s degree in mathematics, Actuarial Science, Data Science, Statistics, or Applied Science.
• 5+ years of experience in a predictive modeling capacity, preferably with a property & casualty insurance carrier.
• Proficiency in analytical programming languages like R, Python, SAS, etc.
• Experience with data analytics and statistical modeling.
• Demonstrate knowledge of when to apply predictive modeling techniques such as penalized regression, trees, clustering, time series, text mining, optimization, etc.
• Experience in implementing models in underwriting and pricing approaches.
• Proficiency with relational databases and SQL.
• Experience in manipulating large amounts of structured and unstructured data.
• Strong communication skills with the ability to convey technical concepts to management, team members, and other functional areas.
• Proven creative problem-solving abilities.
• Polished and professional written and verbal communication skills.

The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, all employees are eligi