Financial Research Analyst For Ai Quality Assurance

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:
€**–€** gross annual (depending on experience)
About AieraWe'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 OutJoin 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 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of LLM-generated financial research to identify: :-- Factual or numerical errors (data accuracy, calculation mistakes, outdated, information)-- Inconsistent assumptions or reasoning (logical gaps, contradictory statements)-- Hallucinations or unsupported claims (fabricated data points,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 dimensions
AI-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 language
Cross-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 loops
Work 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 improvements
Innovation 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 workflows
Who We're Looking For - Required Skills & Experience5+ 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-- 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 metadata
Research-Specific Regulatory Knowledge--
Deep understanding of research-specific regulatory frameworks
, including:---- MiFID II research unbundling rules and compliance requiremen