Financial Risk & Safety Specialist – AI Systems

Job not on LinkedIn

🕒 March 25

☕ Washington – Remote

☕ Washington – Remote

💵 $30 - $200 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

💸 Financial Planning and Analysis (FP&A)

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mpathic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🔌 API

☁️ SaaS

Artificial Intelligence • API • SaaS

mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.

📋 Description

• 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

🎯 Requirements

• 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 • 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