Role Description We are seeking a strong contributor with relevant experience for a Homeowners Actuarial role. The position includes responsibility for developing and maintaining pricing tools as well as preparing and completing pricing analyses for homeowners products countrywide. The candidate would report to the Lead Actuary. The Actuary will work with the Product Management team on a regular basis to provide updates on state and countrywide profitability and perform analyses at a state and countrywide level exercising quantitative and analytical skills. As an Actuary, you’ll support our business through the following areas: - Develop, prepare, and complete pricing analyses, including the development of rates, ultimate loss projections and communication of results. - Participate in development and update of Actuarial models and databases through formula development, research on methodologies, and collaboration on technical teams. - Strong understanding and ability to discuss and apply the use of existing & new actuarial concepts/techniques involving exposure adjustments, trend, loss development, exposure rating, et al with some assistance/guidance. - Apply mathematical and statistical techniques to analyze profitability on a state basis, and work with other Actuaries and Product Managers to make recommendations on what actions can be taken to improve product performance. - Work closely with Product Managers to support introduction of new products, enhancements to existing products, and/or entry into new markets to reach company profit and growth targets including post implementation analysis of new product and product updates. - Collaborate with business partners throughout the organization on the rate and rule revision process, including confirming scope and timelines, preparing filings to be submitted to state insurance departments, coordinating responses to regulator questions, and implementing final revision changes. - Identification of data issues requiring specialized actuarial attention. - Pursue formal education via Casualty Actuarial Society (CAS) exams and continuing education. - Other duties as needed to support the Homeowners line of business. Qualifications - Minimum of 2 actuarial exams completed, with continued commitment to the credentialing process. - 1 or more years of experience in primary insurance pricing, with experience developing/working on pricing indications in Personal Home preferred. - Strong technical actuarial skills and strong knowledge and understanding of rating models. - Strong interpersonal skills. Ability to influence and negotiate with others and create acceptance for proposals. - Well organized with a high level of accuracy and a strong attention to detail. - Desire to solve problems and think analytically. - Skilled in linking multiple data sources to organize data into a logical format for analysis. - Experience with SQL and R or Python required, in addition, intermediate to advanced skills in Microsoft Excel is required. - Self-motivated with a can-do attitude. - Ability to work as a team player to deliver results effectively and efficiently to a variety of customers. Personal Qualifications - The candidate selected for this position will be a creative, out-of-the-box thinker who is intellectually curious with a demonstrated interest in learning. - This person will also need to be a self-motivated, high-energy individual who can easily function in a fast-paced, performance-driven environment. - Must be accustomed to working on multiple tasks in parallel and committed to meeting deadlines, including some with short time frames. - This professional must demonstrate strong leadership skills, including the ability to gain credibility with and influence both team members and management. Company Description Why MSI? We thrive on solving challenges. As a leading MGA, MSI combines deep underwriting expertise with insurer risk capacity to create specialized insurance solutions that empower distribution partners to meet customers’ unique needs. We have a passion for crafting solutions for the important risks facing individuals and businesses. We offer an expanding suite of products – from fully-digital embedded renters coverage to high-value homeowners insurance to sophisticated commercial coverages, such as cyber liability and habitational property – delivered through agents, brokers, wholesalers and other brand partners. Our partners and customers count on us to deliver exceptional service through a dedicated team that makes rapid resolutions a priority. We simplify the insurance experience through our advanced technology platform that supports every phase of the policy lifecycle. Bring on your challenges and let us show you how we build insurance better.

Role Description As an Analyst at Pearl, you will drive tangible business impact by delivering high-quality insights and recommendations grounded in your ability to combine strategic thinking with rigorous analysis. This role requires not only strong technical skills, but also the confidence and judgment to proactively identify opportunities, challenge assumptions, and advocate for data-informed decisions. You will collaborate closely with Product Managers, executives, and cross-functional teams to uncover insights, shape strategy, and validate ideas through experimentation. What You’ll Do - Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas. - Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into clear, compelling business recommendations. - Proactively surface insights and confidently make recommendations, even in ambiguous or evolving problem spaces. - Partner cross-functionally with Product, Engineering, Marketing, and executive stakeholders to align on priorities and drive outcomes. - Perform descriptive and prescriptive analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends. - Track and implement business metrics to drive continuous improvement and support data-driven decision-making. - Act as a lead analyst, gaining deep insights into customers to inform strategic decisions. Qualifications - 3+ years of experience in product analytics (preferably within e-commerce or customer experience products). - Proficiency in analysis and business modeling using Excel. - Experience with Google Analytics, BigQuery, PowerBI, and Python / R is a plus. - Strong SQL skills with the ability to write complex queries to extract insights. - Expertise in descriptive and inferential statistical analysis. - Strong experience designing, executing, and analyzing A/B or hypothesis-driven experiments. Requirements - Confident decision influencer: Comfortable making recommendations and advocating for a point of view backed by data—even when there isn’t a perfect answer. - Executive communication: Ability to clearly and concisely communicate insights, trade-offs, and recommendations to senior leadership. - Cross-functional collaborator: Proven ability to partner effectively with diverse teams and navigate differing priorities. - Curiosity and ownership: Proactively identifies problems and opportunities without waiting for direction. - Comfort with ambiguity: Able to operate in loosely defined problem spaces and bring structure to complex questions. - Storytelling with data: Translates complex analysis into clear, compelling narratives that drive action. Remote From these States - California - Florida - Georgia - Idaho - Illinois - Massachusetts - Michigan - New Jersey - New York - North Carolina - Ohio - Oregon - Pennsylvania - Texas - Virginia - Washington - Wisconsin Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process.

Role Description We are looking for a motivated Senior Product Analyst ready to take us to the next level! You will be responsible for bridging clinical strategy and technical execution to drive innovation at the intersection of healthcare and automation. This position will be full-time and remote. What You’ll Do - Clinical Discovery & Requirements (BA Focus) - Partner with Clinicians (MDs, Nurses, Case Managers) to observe clinical workflows and identify "friction points" ripe for Agentic AI or RPA intervention. - Translate clinical decision-making processes into structured logic maps (Decision Trees, PDDs) that developers can use to build autonomous AI agents. - Define key performance indicators (KPIs) for each automation—such as "Hours Back to Care" or "Reduction in Denials"—and track them post-deployment. - Validation & Quality Governance (QA Focus) - Design the testing lifecycle for UiPath bots and Agentic AI, moving from "Happy Path" RPA to the "Edge Case" reasoning required for AI. - Lead User Acceptance Testing (UAT) sessions directly with healthcare providers. Facilitate "Day in the Life" testing to see how AI agents perform under real-world clinical pressure. - Monitor Agentic AI outputs for "hallucinations" or medical inaccuracies, ensuring the agent fails-safe by handing off to a human clinician when uncertainty is high. - The "Hybrid" Bridge - Ensure every clinical requirement identified during the BA phase is directly mapped to a validation script in the QA phase. - Take bugs or "near-misses" found during testing and backtrack them to requirement gaps, refining the solution design in real-time. - Ensure all documented requirements and testing data comply with PHI protections and EHR integration standards (Epic/Cerner). Qualifications - Bachelor’s Degree in Business, Computer Science, Engineering, or related field, or equivalent work experience. - Minimum of 7 years of experience in development, automation, machine learning, data science, and AI with at least 4 years in a BA or QA role. - Deep understanding of the Provider space (e.g., Clinical Documentation, Revenue Cycle, Patient Scheduling, or Nursing workflows). - Proven experience working within or integrating with Electronic Health Records (Epic, Cerner, etc.). - Proficiency in UiPath Test Suite, Azure DevOps, or Jira for tracking requirements and defects. - Exceptional "bedside manner"—the ability to explain complex AI logic to busy clinicians or executives without using technical jargon. Requirements - Experience with Agentic AI (autonomous agents, LLM-based workflows). - Experience in healthcare, CLP, payer enrollment, RCM / IDR. Physical Demands - Ability to safely and successfully perform the essential job functions. - Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. - Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor. Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

• Manage and support the analysis of product usage data, user behaviour, and KPIs • Handle data requests, dashboard maintenance, and ad hoc reporting tasks • Communicate effectively with internal teams and external stakeholders across time zones • Maintain accurate records of product metrics, experiment results, and analytical outputs • Use relevant tools such as SQL, Mixpanel, Google Analytics, and data visualisation platforms • Support the wider team with product roadmap prioritisation and A/B testing analysis • Identify opportunities to improve product features, user journeys, and conversion rates