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Commission Insurance Data Analytics Jobs in Florida

Develop and implement data stores, data collection systems, data analytics, and other strategies ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off * Short Term & Long Term Disability

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Commission Insurance Data Analytics information

What is the difference between Commission Insurance Data Analytics vs Insurance Underwriter?

AspectCommission Insurance Data AnalyticsInsurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; certifications in analytics toolsBachelor's in Finance, Business, or related; sometimes actuarial exams
Work EnvironmentData analysis teams, offices, or remote settingsUnderwriting departments, insurance offices
Employer & Industry UsageInsurance companies, brokers, analytics firmsInsurance companies, underwriting agencies
Common Search & ComparisonYesYes

Commission Insurance Data Analytics focuses on analyzing insurance data to optimize sales and commissions, while Insurance Underwriters assess risks to determine policy terms. Both roles are vital in the insurance industry but differ in their core functions and skill sets.

What does a commission insurance data analyst do in insurance?

A commission insurance data analyst examines insurance sales and commission data to identify trends, improve sales strategies, and ensure accurate compensation. They use data analysis tools like Excel or SQL and may create reports to support decision-making within insurance companies.
What are the most commonly searched types of Insurance Data Analytics jobs in Florida? The most popular types of Insurance Data Analytics jobs in Florida are:
What are popular job titles related to Commission Insurance Data Analytics jobs in Florida? For Commission Insurance Data Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Commission Insurance Data Analytics jobs in Florida look for? The top searched job categories for Commission Insurance Data Analytics jobs in Florida are:
What cities in Florida are hiring for Commission Insurance Data Analytics jobs? Cities in Florida with the most Commission Insurance Data Analytics job openings:

Lead Data Scientist - VP - Home Lending Data & Analytics

JP Morgan Chase

Jacksonville, FL

Full-time

Medical, Retirement

Re-posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions through model development. Your contributions will be instrumental in transforming the processes and tools for modeling, analytics, and data.

As an Lead Data Scientist within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, and Analysis. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and automate processes through agentic designs. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry.

Job Responsibilities:

  • Designing and developing advanced AI/ML models, agentic systems, and generative AI solutions to solve complex problems. 
  • Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives
  • Work closely with Data Owners, Reporting, and Analytics teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies and agentic system design
  • Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance
  • Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise
  • Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows
  • Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices 
  • Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders
  • Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency
  • Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement

Required qualifications, capabilities, and Skills:

  • 7+ years of work experience.
  • Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc
  • Proven track record of delivering projects in the AI/ML and data analytics space
  • Proficiency in Python.
  • Experience with building Agentic systems, RAG systems, and foundation LLMs (e.g., GPT-5, Claude).
  • Strong understanding of software engineering principles and practices, including version control, testing, and code optimization
  • Technical documentation experience preferred.


Preferred qualifications, capabilities and skills:

  • Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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