Financial Risk & Safety Specialist (AI Systems)

About mpathic.ai
Keeping the human in AI. mpathic is a trusted leader in advancing quality and safety in AI systems through expert-led evaluation and human data. We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains.
Our reviewers bring deep expertise in behavioral analysis, conversational design, mental health, and increasingly, financial and enterprise decision-making contexts.

About the Role
mpathic is seeking part-time Financial Experts to support a red-teaming and quality assurance (QA) campaign focused on evaluating AI system behavior in consumer-facing financial interactions.
In this role, you will review AI-generated responses and multi-turn conversations to identify risks related to financial guidance, inappropriate agreement (e.g., sycophancy), overconfidence, and failure to appropriately communicate uncertainty or limitations.
This is not a financial advising role. Instead, it focuses on evaluation and red teaming—specifically, adversarial thinking and expert judgment applied to AI outputs in simulated scenarios.

What You’ll Be Working On
You will help identify, prevent, and characterize risks that emerge when users engage AI systems in financial and general inquiry contexts.

Responsibilities may include:

Reviewing AI-generated financial content and conversations for accuracy, appropriateness, and risk
Identifying unsafe or misleading financial guidance (e.g., overconfident claims, risk minimization, inappropriate advice)
Evaluating how AI systems handle uncertainty, disclaimers, and scope of knowledge in consumer-facing contexts
Assessing whether models appropriately challenge or push back on risky or incorrect user assumptions
Identifying patterns of sycophancy, over-alignment, or inappropriate agreement
Evaluating multi-turn conversations for drift, escalation, and policy breakdown over time
Participating in or reviewing red teaming exercises, including adversarial probing of AI systems to surface failure modes
Evaluating how models respond under pressure, ambiguity, and escalating user intent
Supporting quality assurance (QA) of red teaming outputs to ensure consistency and rigor
Documenting edge cases, failure modes, and emerging risk patterns
Providing structured written feedback to internal teams
Collaborating with interdisciplinary teams on AI safety, policy, and evaluation frameworks
Maintaining strict confidentiality and quality standards


This role requires strong judgment, attention to nuance, and comfort evaluating ambiguous or evolving scenarios.

What We’re Looking For
Successful candidates are thoughtful, detail-oriented, and able to apply financial expertise to assess risk, uncertainty, and appropriateness in conversational AI systems.

Basic Qualifications

Professional experience in one or more of the following:

Finance, investment analysis, or financial advising
Banking, wealth management, or asset management
Financial risk, compliance, or regulatory roles
Corporate finance, accounting, or financial planning


Strong understanding of:

Financial risk, uncertainty, and decision-making
Appropriate vs. inappropriate financial guidance in consumer contexts
How non-experts interpret financial information


Ability to identify:

Overconfidence, misleading claims, or missing risk disclosures
Inappropriate agreement with risky or incorrect user assumptions


Failures in escalation, boundary setting, or uncertainty communication
Strong written communication skills and ability to clearly explain reasoning
Experience with or interest in:

Red teaming, adversarial testing, or safety evaluation of AI systems
Evaluating how systems fail under realistic user behavior


Comfort working with AI tools and conversational outputs
Ability to work remotely using Slack and standard productivity tools
Comfort with ambiguity, iteration, and feedback-driven workflows
Willingness to sign NDAs and work with sensitive content
Availability ~10 hours per week for 8 weeks (starting in mid-April), with occasional scheduled meetings


Nice to Have (Not Required)

Certifications (e.g., CFA, CFP, CPA, FRM)
Experience in financial compliance or regulatory frameworks (e.g., SEC, FINRA)
Background in consumer financial protection or financial education
Experience with fintech, digital finance products, or robo-advisors
Prior experience with AI evaluation, annotation, or safety work
Interest in AI, NLP, or responsible technology


Compensation
$30-200/hour, depending on experience and specific project tasks/difficulty

Apply Now