Senior Actuarial Expert – AI Training

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Logo of Gramian Consulting

Gramian Consulting

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Create high-difficulty actuarial tasks based on realistic insurance and financial scenarios • Develop technically accurate, well-reasoned, gold-standard solutions • Evaluate AI-generated outputs for accuracy, completeness, assumptions, and practical relevance • Review actuarial calculations, methodologies, and conclusions against professional standards • Assess work related to reserving, pricing, valuation, profitability, forecasting, and risk modeling • Validate and challenge actuarial assumptions using credible data and professional judgment • Review and calibrate the work of other contributors • Maintain consistent quality across assigned tasks and day-to-day reviews • Identify genuine edge cases and unclear evaluation criteria • Escalate complex cases and rubric ambiguities to the functional expert lead

🎯 Requirements

• 8–15 years of actuarial experience in life insurance, property and casualty, health insurance, pensions, or actuarial consulting • Recognized actuarial credential such as SOA ASA/FSA, CAS ACAS/FCAS, IFoA Fellowship, or an equivalent regional qualification • Expert knowledge of reserving methodologies, reserve adequacy, loss development, and actuarial valuation • Strong experience in product pricing and profitability analysis • Strong experience in risk modeling, forecasting, and scenario testing

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