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Optima Forma LDA • Loulé, Portugal
Role & seniority: Financial AI Quality Assurance Analyst (Mid-level), Full-time, Hybrid (2–3 days/wk in Algarve)
Stack/tools: AI/LLM QA; quality frameworks and test-case design; RIXML and research content standards; research taxonomy (GICS/ICB); regulatory knowledge (MiFID II, disclosure); basic data concepts (SQL familiarity optional); collaboration tools (JIRA/lines for issue tracking)
Perform structured reviews of LLM-generated financial research to identify factual errors, inconsistent reasoning, and hallucinations
Define, implement, and maintain quality evaluation criteria, rubrics, and test suites for financial AI tools
Validate AI-produced research for accuracy, completeness, terminology, and coherence; report issues with reproducible steps; collaborate with product, QA, and engineering to drive improvements
5+ years in financial/investment research (banking, asset management, private equity)
Experience with research taxonomy standards (RIXML or equivalent) and classification schemes; strong regulatory knowledge (MiFID II, disclosure, embargoes)
Fluency in English (written and spoken); proven QA/content evaluation track record; ability to work cross-functionally
Sell-side/buy-side equity research background; familiarity with data providers (Bloomberg, Refinitiv, FactSet)
Experience with NLP concepts, prompt evaluation, and AI grounding; familiarity with issue trackers (JI
Financial AI Quality Assurance Analyst (Financial Market Data) – Hybrid Algarve
Location: Greater Faro / Loulé, Algarve – Hybrid (2–3 days/week in office)
Employment Type: Full-time
Seniority Level: Mid-level
Compensation: €40.000–€50.000 gross annual (depending on experience)
About Aiera We’re excited to help our client Aiera.com, a fast-growing, well-funded American startup in the financial technology industry, expand their team in the Algarve.
We are hiring a financial research professional with 5+ yrs of experience to ensure that AI-generated research meets the standards expected by banks, asset managers, and institutional investors.
This role sits at the intersection 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 Out Join a fast-growing US scale-up in the financial industry — backed by strong funding and a global vision. Work on a cutting-edge SaaS platform that uses AI to transform financial research. Be part of an international, 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’s first European research & engineering hub.
The Work You’ll Do Structured LLM Response Reviews
Quality Framework Development and Execution Define and execute quality evaluation criteria, test cases, and edge scenarios for financial AI tools Create and maintain test suites covering diverse financial scenarios, market conditions, and research contexts. Develop comprehensive rubrics that balance financial accuracy with AI-specific quality dimensions
AI-Generated Research Validation
Cross-Functional Collaboration Collaborate closely with product, QA, and engineering teams to report issues, recommend fixes, and improve model reliability over time.
Work hand-in-hand with the Customer Success team, helping them improve customer responses and enhance the user experience.
Innovation and Continuous Improvement Contribute to ongoing innovation by bridging financial expertise with AI quality standards and testing frameworks Document findings, patterns, and root causes to support continuous improvement and model iteration Building knowledge repositories that capture quality insights, common failure modes, and best practices Recommend process improvements and automation opportunities for quality assurance workflows
Who We’re Looking For - Required Skills & Experience 5+ years of experience in financial or investment research, ideally within banking, investment management, or private equity.
Hands-on experience with research taxonomy standard and frameworks, including
Research-Specific Regulatory Knowledge
--- MiFID 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 principles
Strong communication skills — fluent in English (both spoken and written).
QA and Content Evaluation Track Record
--- 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 issues
LLM and AI Content Evaluation Experience
--- 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 tools
Deep 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 detection Comfortable working cross-functionally with product, engineering, and QA teams
Preferred Qualifications Background in sell-side or buy-side equity research, investment banking, or financial analysis Experience with financial data providers (Bloomberg, FactSet, Refinitiv, S&P Capital IQ) Familiarity with research management systems or publication platforms Understanding of natural language processing concepts and limitations Experience with issue tracking systems (JIRA, Linear, etc.) and documentation tools Knowledge of SQL or ability to work with structured financial datasets
Location & relocation
Interested? Apply now to join a fast-growing global team bringing the future of AI-driven financial research to life — from the heart of the Algarve.