Role Description We are seeking a driven and curious Senior Actuarial Analyst with a strong foundation in pricing to join our growing actuarial team. Reporting to the VP, Actuarial, this role contributes directly to pricing decisions across multiple business lines while developing leadership skills through mentoring, project ownership, and cross-functional collaboration. The ideal candidate combines technical expertise in actuarial pricing and data analysis with creativity in problem-solving, a collaborative mindset, and the ability to communicate actionable insights that drive profitable business decisions. - Design and enhance actuarial pricing models, tools, and methodologies to support informed underwriting decisions. - Perform account- and portfolio-level pricing analyses using actuarial techniques, rating plans, and loss experience—initially focused on Casualty, with opportunities to expand into other lines. - Partner with Underwriting, Finance, Claims, and Reinsurance teams to evaluate programs, structure deals, and analyze portfolios—delivering clear insights and recommendations to stakeholders. - Lead special initiatives such as onboarding new programs, improving models, and conducting ad hoc portfolio analyses to ensure rate adequacy and operational efficiency. - Mentor junior analysts by sharing expertise, reviewing work, and supporting their development through the actuarial student program. - Contribute to monitoring portfolio performance, profitability, and emerging trends to inform business decisions and product strategies. Qualifications - Typically 5–8 years of experience in an actuarial role with a focus on pricing. - Strong understanding of actuarial pricing techniques and data analytics within the property & casualty industry. - Proficiency in SQL and Microsoft Office Suite; familiarity with programming languages such as Python, VBA, or R is a plus. - Minimum of 5 actuarial exams passed; ACAS or FCAS designation preferred. - Excellent communication and organizational skills, with the ability to present findings and recommendations effectively to cross-functional teams. - Demonstrated interest in mentoring and contributing to process improvement and innovation. Requirements - Build strong relationships through transparency, trust, and respect for each other. - Work in an agile environment, with a resilient mindset to find creative solutions to challenges. - Collaborate and celebrate diverse perspectives, promoting inclusivity and equality. - Do the right thing with strong conviction and integrity. - Be bold and innovative to help make an impact. - Demonstrable track record of working autonomously and driving progress. - Be intellectually curious, think creatively, and pragmatic. Benefits - Full Suite of Medical Benefits. - Long Term Financial Incentives – STOCK! - 401k with 3.5% Automatic Fully Vested Employer Contributions. - Competitive PTO + Holiday Program. - Lifestyle Spending Account. - Professional Development Assistance. - Career Exploration Opportunities. - Regular company-wide social events (even virtually!). Company Description At Palomar, we are committed to diversity, equality and inclusion in all facets of the organization. We have built an open culture that celebrates the diversity of our workforce, while actively championing equality and inclusion practices that make us a company people want to work with and work for. We believe that diversity, equality and inclusion yields greater organizational creativity and productivity, which helps us serve our customers and partners more effectively. Delivering on our diversity commitment returns greater value to our shareholders and ultimately makes a positive impact to the communities in which we do business and to the people who live in them.

• Support product operations and enhancement • Optimize product processes, monitor performance, and identify opportunities for continuous improvement. • Partner with cross-functional teams to prioritize and implement enhancements that align with business goals. • Use data, feedback, and product context to help inform recommendations and decisions • Support new and existing clients by troubleshooting issues and ensuring timely resolution • Assist new product launches and activation activities such as user onboarding, enrollment, etc. • Ensure clients and internal teammates have the information and resources needed to use Evio products effectively • Independently organize, plan, and manage project milestones using project management tools. • Track progress, dependencies, risks, to keep work moving forward • Engage internal and external stakeholders early and often to promote alignment on organizational goals. • Define and document product requirements with an intense focus on alignment with business and customer needs. • Maintain and update requirements throughout the ideation, design, and build phases of the product lifecycle.

• Analyze user behavior across key product funnels: registration, deposit, betting activity, withdrawals, bonuses, and retention; • Monitor key product KPIs such as conversion, retention, churn, LTV, session activity, user engagement, and revenue; • Prepare product and business reports to identify which features, mechanics, or user flows drive engagement and revenue; • Validate product hypotheses and help define the analytical approach to evaluate their impact; • Analyze A/B tests and experiments, evaluate results, and provide clear conclusions and recommendations; • Segment users and analyze cohorts by behavior, value, lifecycle stage, activity level, VIP potential, or risk patterns to support product and CRM decisions; • Investigate drops or anomalies in product and business metrics and identify possible reasons behind changes; • Independently structure analytical tasks, clarify business questions, define success metrics, and choose the right analytical approach; • Work closely with Product, CRM, Marketing, Anti-Fraud, and other business teams to translate analytical findings into product and business recommendations.

Role Description We’re looking for a Senior/Staff Product Analyst to join our Financial Services team in Canada. This role sits at the intersection of Product Analytics, Decision Science, and Product Strategy. You will partner closely with Product, Engineering, and business leadership to help shape the future of Capital through data-driven decision making. For Capital to succeed, many of our most important product and business decisions depend on balancing complex trade-offs across: - Pricing - Conversion - Offer volume - Losses - Profitability We’re looking for someone who can operate as a strategic thought partner, not simply answer predefined questions, but help determine: - What problems we should solve, and the right way to design and implement solutions - Defining and measuring success across product, merchant, and business outcomes - Optimizing for both merchant success and business performance, balancing growth, risk, and operational tradeoffs What you’ll be doing: - Partner with Product and Engineering leaders to influence product strategy through deep analytical insights and decision frameworks - Lead ambiguous and high-impact analytical initiatives end-to-end, from problem definition through recommendation and implementation - Build analytical models and frameworks that optimize trade-offs across risk, pricing, conversion, profitability, and customer outcomes - Design and evaluate experiments, including pricing and conversion optimization initiatives - Translate complex business problems into structured analytical approaches and measurable success criteria - Identify product opportunities, operational inefficiencies, and strategic insights through deep analysis of large-scale transactional and product datasets - Deliver executive-level recommendations and influence roadmap decisions using data - Collaborate cross-functionally with Product, Engineering, Finance, and GTM teams to operationalize data-informed decisions Qualifications - Advanced SQL and strong analytical skills working with large-scale product or transactional datasets - Python for analytics, experimentation, statistical analysis, or modeling - Product analytics, experimentation, and decision science methodologies - Building analytical frameworks that drive business and product decisions - Leading cross-functional analytical initiatives independently - Translating ambiguous business questions into structured analysis and actionable recommendations - Strong communication and stakeholder management skills, with the ability to influence Product and Engineering teams - Data visualization and storytelling experience using tools such as Looker, Tableau, or similar BI platforms - Experience working within product organizations at technology or fintech companies Requirements - Experience in fintech, lending, payments, or risk-related domains (nice to have) - Experience in Data Science, predictive modeling, or optimization problems (nice to have) Benefits - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families