Senior Predictive Analyst

Posted 4 Days Ago
Be an Early Applicant
Miami, FL
Mid level
Insurance
The Role
As a Senior Predictive Analyst, you will develop and maintain predictive models to support various business strategies, performing data analysis to identify patterns and trends. Collaborating with teams across the company, you will document and validate models, ensure data quality, and present insights to stakeholders. You will also mentor junior analysts and work on process improvements.
Summary Generated by Built In

COMPANY OVERVIEW:

Founded in 1989, United Automobile Insurance Company is an innovative and established organization looking for a Senior Predictive Analyst to join our team. Family-owned, UAIC, is one of the largest privately held property and casualty insurance companies in the United States. The key to our growth and success is a commitment to providing quality service to our agents and customers, by providing disciplined underwriting, and strategic claims handling. Our ongoing efforts to invest substantial resources in personnel and technology are the foundation of our promise of assuring maximum efficiency and specialized operations in the industry. We are proud that our independent agents and customers have recognized our dedication by making UAIC the market leader in every state where we conduct business.

SCOPE:

As a Senior Predictive Analyst, you will play a crucial role in driving data-driven decision-making within the organization. Leveraging advanced analytical techniques, you will be responsible for developing and maintaining predictive models to support underwriting, pricing, claims management, and overall business strategy. You will collaborate with cross-functional teams to extract insights from data and provide recommendations for optimizing business processes. This position offers a primarily remote work arrangement, allowing the ideal candidate to work from their preferred location. 

DUTIES:

  • Develop and maintain advanced predictive models using statistical and machine learning techniques to support underwriting, pricing, and claims management decisions.
  • Perform in-depth data analysis to identify trends, patterns, and anomalies in insurance data.
  • Validate and document the accuracy, reliability, and robustness of predictive models to ensure compliance with industry standards and regulations.
  • Maintain comprehensive documentation of modeling methodologies, assumptions, and outcomes.
  • Work closely with data engineers to ensure data quality, completeness, and consistency for use in predictive modeling.
  • Utilize data cleansing techniques to address missing or erroneous data.
  • Collaborate with cross-functional teams, including actuaries, underwriters, claims professionals, and IT, to gather requirements and translate business needs into actionable analytics solutions.
  • Present findings and insights to both technical and non-technical stakeholders, providing clear and concise recommendations.
  • Implement processes for monitoring model performance and provide recommendations for model recalibration or enhancement as needed.
  • Stay up to date with industry best practices and emerging trends in predictive modeling.
  • Ensure compliance with industry regulations, including state insurance department guidelines, and assist in the preparation of necessary documentation for regulatory filings.
  • Proactively identify opportunities for process improvement and automation to increase efficiency and accuracy in predictive modeling.
  • Provide guidance and mentorship to junior analysts in the team, fostering their professional growth and development.

EDUCATION:

  • Bachelor’s degree in Statistics, Mathematics, Actuarial Science, Data Science, or related field. 
  • Master’s degree preferred.

SKILLS & EXPERIENCE:

  • Minimum 4-6 years of progressively responsible experience in predictive modeling, data analysis, or a related field in the insurance industry, demonstrating a history of leadership and complex problem-solving.
  • Exceptional proficiency in advanced statistical software (e.g., R, Python, SAS) and data manipulation tools (e.g., SQL).
  • Extensive experience with complex predictive modeling techniques (e.g., regression analysis, machine learning algorithms) and a track record of applying innovative methodologies.
  • In-depth knowledge of property and casualty insurance principles, products, and industry trends.
  • Outstanding analytical, problem-solving, and critical thinking skills.
  • Exceptional communication skills to convey complex ideas to non-technical stakeholders.

BENEFITS:

  • 401(k) Retirement Savings Plan with employer match.
  • Comprehensive Medical, Prescription Drug, Vision, and Dental Insurance
  • Paid Time Off, Holidays, and Leave programs.
  • Flexible spending accounts
  • Basic Life Insurance and Voluntary Life/ADD
  • Voluntary Short Term and Long-Term Disability


Please note that the salary range listed is an estimate provided by the job board and might not align with accurate information. The actual salary for this position may vary based on experience and qualifications. Candidates are encouraged to discuss compensation during the interview process.


UAIC is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. All employment decisions at UAIC are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. 

Top Skills

Machine Learning Techniques
Predictive Modeling
Statistical Techniques
The Company
Miami Gardens, FL
312 Employees
On-site Workplace
Year Founded: 1989

What We Do

United Automobile Insurance Company was incorporated on March 2, 1989 in Miami Gardens, FL to provide a high quality and low cost insurance product to the non-standard automobile insurance market. The company is family owned and it is one of the largest privately held property and casualty insurance companies in the United States

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