Role Description The Sr. Analyst, Actuary role will require the ability to evaluate complex risks and assess the potential financial consequences of those risks in the healthcare space. Utilize mathematics, statistics, and financial theory to assess the risk that may occur and help the business and clients develop business plans that minimize the cost of that risk. Advise the business on contract pricing in a value-based, risk-bearing environment. Contribute to and/or lead a wide variety of complex projects involving the contracting, reserving, pricing, and financial modeling of a full array of value-based care programs for providers and payors. How You'll Make an Impact: Essential Functions: - Analyze statistical data around medical trends - Complex modelling of statistics to determine potential risks - Assist with pricing risk contracts with payors and providers - Prepare presentations and detailed reports and present to clients - Lead development and/or maintain multiple internal statistical models to support key business goals / initiatives; pricing models, financial projections, contract modeling, and ad hoc support projects Skills Required: - Strong quantitative and financial modeling capabilities and problem-solving ability - Ability to work both independently and lead small teams, while enjoying a fast-paced collaborative environment - Strong analytical skills including ability to draw conclusions, develop processes, and identify trends from data in a logical, systematic way - Create client reporting for actuarial topics like the financial outcomes of various contracts, including shared risk and contingency based contracts - Lead development of advanced analytical models that help demonstrate our program value (cost savings, quality outcomes, and member satisfaction) to our clients - Strong written and verbal communication skills - Expert proficiency with Microsoft Suite to include SQL, Excel, Word, Power Point and Outlook Required Education and Experience: - Bachelor's degree in actuarial science, mathematics, economics or a related field is required - Minimum of four (4) years of decision support, financial analysis or actuarial experience is required - Ability to work cross-functionally with a variety of teams including operations, product, and technology - Strong database (SQL) experience is required Preferred Education and Experience: - 4-7 years of experience - Associate in the Society of Actuaries (ASA) Preferred - Ability to handle ambiguity and desire to work in a fast-paced start-up environment Our Commitment to Diversity: Somatus, Inc. provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Further, the company takes affirmative action to ensure that applicants are employed, and employees are treated during employment without regard to any of these characteristics. Discrimination of any type will not be tolerated.

Role Description Join us at the intersection of business, strategy, and opportunity. We are seeking a proactive Product Data Analyst to lead analytics for our Trading Solutions area. You’ll drive data-informed decisions, identify growth opportunities, and build dashboards and experimentation frameworks. The ideal candidate has strong SQL and Python skills and a passion for turning data into impact. - Owning and leading analytics for the Trading Solutions product area. - Continuously identifying new business growth opportunities and generating hypotheses to improve key metrics. - Analyzing product changes and evaluating product initiatives. - Helping the team approach problems structurally and make data-driven decisions. - Building a dashboard system and alerting framework to monitor deviations in key metrics. - Creating analytical tools and setting up analytical processes such as A/B testing, data logging, and more. - Developing a culture of experimentation and hypothesis validation across the company. Qualifications - 4+ years of experience as a data/product analyst. - Excellent knowledge of SQL. - Proficiency in Python, including areas beyond the standard analytics stack. - Experience with one of the major BI tools: Tableau, Power BI, Superset. - Hands-on experience with experiments and A/B testing is a plus. - Strong understanding of statistics. - A passion for systematization, organization, and maintaining order. - Familiarity with ETL principles is a plus. - Experience with GitLab and Airflow is an advantage. - Experience in tech companies (VK, Yandex, Avito, etc.) is a plus. Personal Attributes - Professional demeanor with high emotional intelligence. - Flexible, adaptable, and resourceful — thrives in fast-changing environments. - Strong interpersonal skills with the ability to build trust quickly. - Proactive mindset with a focus on solutions. - Composed and resilient under stress, capable of learning from mistakes and turning challenges into growth opportunities. Benefits - Fully remote work from anywhere in the world with a flexible work schedule. - 100% paid sick leave and vacation. - Corporate pricing for company products and the opportunity to set up your own mining farm using EMCD's infrastructure. - Work in a leading mining pool with in-depth industry training.

• Analyze product usage data to identify trends, friction points, and opportunities for improvement. • Evaluate competitor products to benchmark functionalities and propose innovative solutions. • Develop reports and dashboards to track key performance metrics. • Collaborate with product managers, designers, and engineers to enhance product features based on data insights. • Conduct A/B testing and experimentation to validate new functionalities and improve user engagement. • Provide actionable insights to support product roadmap decisions. • Identify and address bottlenecks in user flows and product performance.

• Analyze product usage data to identify trends, friction points, and opportunities for improvement. • Evaluate competitor products to benchmark functionalities and propose innovative solutions. • Develop reports and dashboards to track key performance metrics. • Collaborate with product managers, designers, and engineers to enhance product features based on data insights. • Conduct A/B testing and experimentation to validate new functionalities and improve user engagement. • Provide actionable insights to support product roadmap decisions. • Identify and address bottlenecks in user flows and product performance.