Senior Product Analyst

Upland Capital Group•Dallas, TX

10d•$110,000 - $130,000•Remote

About The Position

Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions, excess cyber liability as well as product recall. We focus on “old school” underwriting as a craft, add “new school” analytics and technology, and encourage a gritty, growth mindset among people called “we entrepreneurs.” Within our Risk, Analytics, and Data (RA&D) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our vision is to build highly automated and efficient processes to build, test, and deploy our models and products for enhancing actuarial, underwriting, and claim insights with timely and relevant data-driven analytics and technology. We look to create solutions requiring creative problem solving and close collaboration with stakeholders across the organization, not limited by a ‘one size fits all’ mindset. This vision requires a high level of organization and collaboration to ensure our goals and objectives are met. As an Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. We are looking for a Senior Product Analyst to join our Risk, Analytics and Data (RAD) team to support data, analytics, and technology initiatives involving high levels of collaboration across the organization. This role will report to the Director, Analytics Product Management. With significant initiatives planned for 2026 and beyond, including model implementations, AI integration projects, and rating platform enhancements, we need someone who can operate at the intersection of analytics and execution. You'll work on high-visibility projects, have significant autonomy, and directly impact on the company's analytical capabilities This role offers growth potential and the opportunity to shape how a fast-moving team tackles complex problems

Requirements

Analytical Foundation
You started your career in a deep analytical role (e.g., actuarial, modeling, data science, quantitative research)
You may have pivoted from a technical specialty but retained that analytical rigor
Dynamic & Adaptable
You thrive when juggling multiple projects across different domains
You learn new concepts and technologies quickly (self-taught skills are a plus)
You're comfortable with ambiguity and can build structure where it doesn't exist
You've worked on a variety of analytical projects that demonstrate your ability to pivot quickly
Collaborative & Effective
You can coordinate across diverse teams and get things done without needing to know everyone already
You build relationships quickly and know how to influence without authority
You understand business objectives and can translate between technical and business language
You're interested in implementation, not just analysis, you want to see projects through to impact
Technically Capable
You can dive in and have technical conversations and potentially you can review technical work
You're comfortable with data analysis tools and can-do hands-on work when needed
You're excited about emerging technologies (AI, automation) and eager to learn new tools
You have the technical credibility to work effectively with data scientists and engineers
Bachelor's degree preferred but not required (5 years of experience required in lieu of degree)
3+ years of product analyst experience, ideally within the P&C insurance industry or related fields
Proficient with workflow and PM tools (e.g., Jira, Monday.com) and documentation tools (e.g., Confluence)
Exposure or working knowledge of AI tools and understanding tool capabilities
Experience working with data, analytics, and model engineering teams
Experience working cross-functionally across business and technical teams, including very strong ability to build solid working relationships and deliver results
Excellent verbal and written communication skills, especially with non-technical users
Strong critical thinking and structured problem-solving skills
High attention to detail, organization, and follow-through
Basic understanding of technical topics (e.g., software development, data engineering, model deployment, Python, Git, Snowflake, etc.)
Self-starter, quick learner, and creative problem solver that thrives in a flexible, fast paced, and remote work environment

Nice To Haves

Experience within P&C insurance with focus on insurance data, pricing, underwriting, claims, or analytics
Experience with rating-related solutions (e.g., pricing/portfolio tools, rating engine, raters, etc.)
Advanced understanding of technical topics (e.g., software development, data engineering, model deployment, Python, Git, Snowflake, etc.)
Exposure to rater governance, rating data model, reinsurer treaty reporting, renewal rate monitoring, or audit scenarios
Broad use of AI tools, including ChatGPT and Claude Anthropic

Responsibilities

Drive Projects Forward
Jump into diverse analytical projects and get them moving quickly, even in unfamiliar domains
Build relationships across teams rapidly and coordinate effectively without existing networks
Identify gaps in projects and step in to fill them—whether that's ad hoc analysis, process design, or technical review
Support AI and machine learning initiatives, including workflow integration and practical implementation and have basic understanding or exposure to AI tools, models, and engineering
Analytical Problem-Solving
Conduct deep analytical work when needed—you should be comfortable getting into the weeds
Review technical implementations for accuracy and business alignment
Develop ad hoc and routine analytical solutions in collaboration with technical teams
Work across multiple analytical domains: pricing, claims, modeling, data engineering, and more
Lead Implementation & Coordination
Take ownership of implementing analytical models and data science projects across the organization
Coordinate with actuaries, data scientists, product managers, and engineers to bring complex initiatives to life
Bridge technical teams and business stakeholders, ensuring everyone speaks the same language
Monitor data flows and build systems to ensure implementations are accurate and sustainable
Support the execution of other various department projects and strategies when needed