Role Description This position is remote within Colombia. Huge is expanding its delivery capability to support a major eCommerce client across three simultaneous feature tracks: a new product experience, an auto-replenishment subscription flow, and a CMS-driven partner collaboration platform. We need someone to own it. As a Senior QA Analyst, you will: - Own Experience Quality Across Active Sprint Tracks - Test features and flows as they are built, sprint by sprint. - Execute functional, visual, and cross-device testing on features and components. - Work from defined acceptance criteria to validate behavior against signed-off designs and requirements. - Test across all relevant breakpoints and device categories. - Maintain a clear, organized defect log. - Build and maintain regression coverage as features mature. - Embed Inside the Sprint and Keep Things Moving - Participate in sprint planning to understand what is being built. - Provide timely turnaround on test execution. - Raise blockers early and clearly. - Partner with the QA Lead to triage defects and agree on severity. - Participate in sprint demos. - Drive Integration and Functional Coverage - Test eCommerce integration touchpoints. - Validate subscription feature states across all defined conditions. - Test authenticated and unauthenticated user flows. - Document and communicate integration-related defects clearly. - Leverage AI and Automation to Test Smarter - Use AI-assisted tools to support test case generation and defect analysis. - Contribute to automated test coverage. - Bring working familiarity with automation concepts into daily practice. - Stay curious about AI capabilities in testing. - Prepare for Client UAT and Support Release - Support cross-component regression testing during the hardening phase. - Prepare test summary documentation for the client. - Provide hands-on support during client UAT. - Contribute to release readiness prep. Qualifications - A track record of QA delivery on digital product or eCommerce engagements. - Direct experience working within sprint-based delivery teams. - Comfort testing eCommerce functionality. - Strong defect reporting discipline. - Experience with cross-device and cross-browser regression testing. - Familiarity with automated testing concepts. - An eye for experience quality. - Experience working inside an established engineering workflow. - Comfort communicating in English in a professional setting. - Practical familiarity with AI-assisted tools in a testing or development context. - A working style that is proactive rather than reactive. - Colombia-based, available to overlap with US Eastern and Central time zones during core working hours. Requirements - If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. Benefits - Inclusive employee experience for all. - Equal opportunity employer (EOE). - Support for diversity in the workforce. - Barrier-free recruitment and selection process. - No recruitment fees for workers.

• Executar o monitoramento de transações em tempo real (antifraude) e em lote (PLD), conforme regras e procedimentos definidos • Analisar alertas transacionais seguindo critérios pré-estabelecidos, apoiando na tomada de decisão (aprovação, bloqueio ou escalonamento) • Identificar comportamentos atípicos, inconsistências cadastrais e possíveis indícios de fraude ou lavagem de dinheiro • Apoiar atividades de investigação, realizando levantamento de informações, consulta a sistemas e organização de evidências • Registrar e documentar análises e tratativas de forma clara, garantindo rastreabilidade das informações • Auxiliar no tratamento de denúncias internas e externas, seguindo fluxos e orientações da área • Apoiar na revisão básica de regras e cenários de monitoramento, contribuindo para melhoria contínua com supervisão • Seguir políticas, normas internas e procedimentos de compliance relacionados a PLD/FT

Role Description The Senior Portfolio Analyst role within Principal Asset Allocation’s (PAA) Portfolio Management team ($250 billion in assets) is responsible for the day-to-day research and implementation of open-architecture, multi-manager equity strategies. This role supports core-satellite strategies in portfolio construction and management decisions across six active equity strategies through quantitative research and analysis of approximately $20 billion in AUM. - Lead research efforts focused on developing, enhancing, and maintaining systematic indicators to inform portfolio management decisions, including active-passive allocations, manager allocations, and portfolio construction across core-satellite portfolios. - Enhance active-passive implementation frameworks to determine the optimal use of active managers, passive exposures, and blended structures based on market conditions, macro trends, and asset class dynamics. - Design and maintain systematic risk mitigation signals, including mean reversion and stop-loss frameworks, to guide tactical positioning. - Build, maintain, and enhance quantitative models and analytical frameworks used for portfolio optimization, signal generation, scenario analysis, and performance attribution. - Monitor portfolio risk exposures, including sector, regional, factor, style, and macroeconomic risks, ensuring alignment with investment objectives and risk tolerances. - Conduct research on market structure, behavioral finance, factor dynamics, and systematic investment strategies to support portfolio outcomes. - Support portfolio management decision-making through analysis that informs portfolio allocation recommendations. Qualifications - Bachelor's degree with an emphasis in finance, economics, accounting, or another technical field. - 8+ years related experience that includes quantitative research, risk management, risk analysis. - Experience working with equities or equity portfolios, including exposure to portfolio construction, manager selection, or equity market analysis. - Strong understanding of portfolio construction, asset allocation, manager selection, and risk management. - Programming experience (Python, R, C++, SQL). - Experience with performance or risk-based platforms such as Factset, Barra, Bloomberg, Morningstar. Requirements - Advanced training in mathematics, statistics, computer science, or another highly quantitative field. - Demonstrates strong analytical and problem-solving skills with the ability to synthesize large datasets into actionable insights and recommendations. - Experience applying artificial intelligence or machine learning techniques to portfolio construction, investment research, or signal development. - Excellent ability to communicate advanced concepts in a concise and logical manner. - Strong attention to detail, organizational skills, and the ability to manage multiple tasks and requests from various stakeholders in a timely and efficient manner. Benefits - Salary range: $157,000 - $213,000 per year. - Final compensation will be determined based on skills, experience, and alignment with the role’s responsibilities. - Participation in an annual profit share bonus plan. - Flexible Time Off (FTO) for salaried (exempt) employees. Company Description At Principal, we value connecting on both a personal and professional level. Together, we’re imagining a more purpose-led future for financial services – and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being.

• Work closely with development and product teams to ensure the quality of deliverables throughout the entire development cycle • Plan, design and execute test scenarios and test cases (functional, regression and automated) • Develop, enhance and maintain automated tests for web applications, APIs and integrations • Identify, log, prioritize and track defects through to resolution • Actively participate in agile ceremonies, contributing the quality perspective from the inception of requirements • Support the definition, implementation and evolution of QA strategies, processes and best practices • Perform impact analyses and support validation processes across different environments • Collaborate closely with developers, business analysts and other stakeholders to ensure high reliability and performance of deliveries • Drive continuous improvement of testing processes, product quality and end-user experience.