Financial Research Analyst for AI Quality Assurance – Hybrid AlgarveLocation:Greater Faro / Loulé, Algarve – Hybrid (2–3 days/week in office)Employment Type:Full-timeSeniority Level:Mid-levelCompensation:€40.000–€50.000 gross annual (depending on experience)About AieraWe're excited to help our clientAiera.com, a fast-growing, well-funded American startup in thefinancial technologyindustry, expand their team in theAlgarve.We are hiring afinancial research professional with 5+ yrs of experienceto ensure that AI-generated research meets the standards expected by banks, asset managers, and institutional investors.This role sits at theintersection of equity research, regulatory governance, and AI quality evaluation. You will apply your market expertise to validate, challenge, and improve AI-generated outputs — shaping how financial research is produced in the future.Why This Opportunity Stands OutJoin afast-growing US scale-upin the financial industry — backed by strong funding and a global vision.Work on acutting-edge Saa S platformthat usesAI to transform financial research.Be part of aninternational, innovation-driven culture— collaborate directly with product, QA, and engineering teams under US management.Enjoy the Algarve lifestyle— combine meaningful, high-impact work with one of Europe's best living environments.Help shape the company'sfirst European research & engineering hub.The Work You'll DoStructured LLM Response ReviewsPerform comprehensive, systematic reviews of LLM-generated financial research to identify: :-- Factual or numerical errors (data accuracy, calculation mistakes, outdated, information)-- Inconsistent assumptions or reasoning (logical gaps, contradictory statements)-- Hallucinations or unsupported claims (fabricated data points, unverified assertions, false attributions)Quality Framework Development and ExecutionDefine and execute quality evaluation criteria, test cases, and edge scenarios for financial AI toolsCreate and maintain test suites covering diverse financial scenarios, market conditions, and research contexts.Develop comprehensive rubrics that balance financial accuracy with AI-specific quality dimensionsAI-Generated Research ValidationQA test and validate AI-generated financial research outputs, ensuring accuracy, consistency, completeness, and appropriate use of financial terminology:-- Accuracy: Verify numerical data, calculations, historical facts, and market references.-- Consistency: Ensure coherent reasoning, aligned assumptions, and internally consistent narratives.-- Completeness: Assess coverage of relevant factors, appropriate context, and necessary disclosures.-- Terminology: Validate proper use of financial terminology, conventions, and industry-standard languageCross-Functional CollaborationCollaborate closely with product, QA, and engineering teams to report issues, recommend fixes, and improve model reliability over time.-- Report issues with clear reproduction steps and impact assessment-- Recommend fixes and prioritize quality improvements-- Improve model reliability and performance over time through feedback loopsWork hand-in-hand with the Customer Success team, helping them improve customer responses and enhance the user experience.-- Help improve customer responses and resolve quality concerns-- Enhance the user experience through quality insights-- Translate customer feedback into actionable quality improvementsInnovation and Continuous ImprovementContribute to ongoing innovation by bridging financial expertise with AI quality standards and testing frameworksDocument findings, patterns, and root causes to support continuous improvement and model iterationBuilding knowledge repositories that capture quality insights, common failure modes, and best practicesRecommend process improvements and automation opportunities for quality assurance workflowsWho We're Looking For - Required Skills & Experience5+ years of experiencein financial or investment research, ideally within banking, investment management, or private equity.Hands-onexperience with research taxonomy standard and frameworks, including-- RIXML (Research Information Exchange Markup Language) or equivalent research content standards-- Research content type classifications (company research, sector reports, macroeconomic analysis, etc.)-- Sectors and industries tagging conventions (GICS, ICB, or similar classification systems)-- Issuer and analyst coverage structures-- Corporate action context for research (M& A, earnings, guidance changes, capital structure events)-- Research distribution and entitlement metadataResearch-Specific Regulatory Knowledge--Deep understanding of research-specific regulatory frameworks, including:---- Mi FID II research unbundling rules and compliance requirements---- Inducements regulations and Client Service Agreements (CSAs) where applicable---- Research disclosure requirements (conflicts of interest, investment banking relationships, analyst holdings)---- Restricted lists, embargoes, and quiet periods---- Ratings and price target governance (methodologies, changes, distributions)---- Fair disclosure (Reg FD) and selective disclosures principlesStrong communication skills — fluent inEnglish(both spoken and written).Either:-- Alreadybased in the Algarveand seeking a high-impact opportunity, or-- Alreadyliving in Portugal and Interested in relocatingto the Algarve to combine an international career with an exceptional lifestyle.QA and Content Evaluation Track Record-- Demonstratedexperience in quality assurance, editorial review, or content evaluation, including:---- Systematic review and correction of narrative outputs for accuracy and consistency---- Application and enforcement of style guides, tone standards, and quality frameworks---- Structured defect identification, categorization, and logging---- Creating and maintaining test cases for content quality---- Experience with rubric development for evaluating written content---- Root cause analysis and pattern identification in quality issuesLLM and AI Content Evaluation Experience-- Practicalexperience evaluating AI-generated content, including:---- Creating evaluation rubrics and quality criteria for LLM outputs---- Identifying and categorizing hallucinations, fabrications, and unsupported claims---- Assessing grounding and factual accuracy of AI responses---- Evaluating citation quality, attribution, and source reliability---- Understanding prompt-response relationships and context handling---- Experience with systematic testing of conversational AI or chat toolsDeep understanding of financial data, investment analysis, and market research.Passion for technology and innovation, eager to collaborate with product and engineering teams.Strong communication skills — fluent in English (both spoken and written).Detail-oriented mindset with a natural inclination toward QA, testing, and error detectionComfortable working cross-functionally with product, engineering, and QA teamsPreferred QualificationsBackground in sell-side or buy-side equity research, investment banking, or financial analysisExperience with financial data providers (Bloomberg, Fact Set, Refinitiv, S&P Capital IQ)Familiarity with research management systems or publication platformsUnderstanding of natural language processing concepts and limitationsExperience with issue tracking systems (JIRA, Linear, etc.) and documentation toolsKnowledge of SQL or ability to work with structured financial datasetsLocation & relocationWe're especially interested in candidates who are:Alreadybased in Portugaland seeking an international product/engineering environment,orEU / EEA / Swiss / Brazilian citizens(or others with theright to work in Portugal without sponsorship) who are interested inrelocating to the Algarve.Interested?Apply now to join a fast-growing global team bringing the future ofAI-driven financial researchto life — from the heart of the Algarve.