Senior Data Scientist Actuarial Analytics Insurance

PEMCO; Clayton (NC); On-site; USD 129,000 - 215,000; Full time

Benefits offered by this job

401(k) plan with employer match

Paid time off

Education assistance

Scholarship program

Job summary

PEMCO seeks a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analyses for product development, pricing, and reserving. You will develop large-scale models, create SQL-driven tools, and collaborate with product teams and actuaries to drive strategic decisions.

The role requires 6+ years in actuarial and statistical modeling, proficiency in Python/R/SAS/SQL, and property & casualty experience.

Qualifications

• BA or BS in Actuarial Science, Mathematics, Statistics or related field is required
• Graduate or other professional degree or equivalent work experience is preferred
• 6+ years of experience in actuarial and statistical predictive modeling is required
• 3+ years of experience in the property and casualty insurance industry is required
• MS Office: Skilled proficiency in Excel, Word, PowerPoint, Outlook is required
• Job specific: Proficiency in Python, R, SAS and/or SQL
• Job specific: Proficiency with Radar, Emblem, or ResQ
• Job specific: Must be able to demonstrate high level of skill in quantitative modeling, knowledge of data structures and ability to write complex SQL queries is required
• Precision: Is detail orientated and has a strong desire for accuracy and thoroughness is required
• Analytical and data-driven: Thinks analytically; a structured thinker who can put complex ideas into clear frameworks; uses data to conduct root cause analysis and develops high quality, consumable, and consistent metrics that drive strategic objectives and priorities is required
• Highly Analytical: Is passionate about working with disparate datasets bringing data together to answer business questions. Collaborates to create, manage, and translate data to meaningful insights. Can work with external vendors to integrate data for analysis; knows how to build efficient and scalable infrastructure and data models
• Compliance: Possesses knowledge and understanding of relevant laws, rules, and regulations is required
• Problem Solver: Ability to analyze, diagnose and resolve complex unstructured problems quickly, efficiently, and collaboratively
• Communicator: Communicates clearly and informatively, verbally and in writing, with colleagues, customers, and the community in both technical and non-technical professional language
• Independent: Is highly self-motivated and directed. Demonstrates the ability to work with limited direction, communicates relevant information to the appropriate levels during times of uncertainty
• Organized: Has excellent time management skills and easily manages multiple tasks, activities, and projects
• Presenter: Organizes data visually and speaks clearly and persuasively in group presentations and meetings with multiple peer groups and senior management

Responsibilities

• Independently perform complex analytical support for actuarial and product development.
• Develop large-scale predictive modeling and multivariate analysis.
• Create queries and tools to assist the development and implementation of rates, rating plans, pricing strategies and financial analysis.
• Participate with product managers and actuaries in making strategic decisions.
• Collaborate with Product Team and other business units to provide business solutions.
• Develop and document system workflows and business processes.
• Pioneer best practice in building tools and processes to create efficiencies.
• Mentor less experienced members, helping them improve and sharpen their skills by sharing best practices.

Skills

Python

R

SAS

SQL

Education

Bachelor's degree in Actuarial Science/Math/Stats

Graduate degree or equivalent

Tools

Radar/Emblem/ResQ

MS Office (Excel/Word/PowerPoint/Outlook)

Job description

PEMCO seeks a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analyses for product development, pricing, and reserving. You will develop large-scale models, create SQL-driven tools, and collaborate with product teams and actuaries to drive strategic decisions.

The role requires 6+ years in actuarial and statistical modeling, proficiency in Python/R/SAS/SQL, and property & casualty experience.