Company Description

MillionLogics is a trusted Oracle Partner and global leader in IT solutions, with operations in London, UK, and a development hub in Hyderabad, India. Specializing in innovative and scalable services, MillionLogics empowers enterprises through data & AI, cloud solutions, IT consulting, and custom application development. With a team of 85+ AI/ML experts, we deliver tailored solutions that foster digital transformation and operational excellence.

We're committed to client success. We blend world-class technical expertise with strategic insight to deliver results. Role Overview

We are seeking experienced Actuaries to help train advanced AI systems. You will create, evaluate, and refine realistic actuarial tasks involving risk assessment, pricing, reserving, forecasting, and financial modeling. You will verify technical accuracy, assumptions, and practical relevance, helping AI produce reliable, well-reasoned outputs aligned with professional actuarial standards and real-world insurance and financial applications. Offer details:

Mode of work: Fully Remote

Employment Type: Contract

Commitments Required: Full-time. 40 hours per week with at least 4 hours PST overlap

Start Date: Immediate

Number of openings: 5

Pay: Competitive

Years of Experience: 8- 15 years Requirements





8–15 years of actuarial experience across 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.

Solid expertise in product pricing, profitability analysis, risk modeling, forecasting, and scenario testing.

Proven ability to set, validate, and challenge actuarial assumptions using credible data, professional judgment, and regulatory standards. Responsibilities

Produce high-difficulty expert tasks and gold-standard solutions in the functional area. Review and calibrate team members' output and own day-to-day quality. Escalate genuine edge cases and rubric ambiguities to the Functional SME (Expert) Lead.

Education & Experience

Bachelor's degree or equivalent practical experience in any field.

Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required. How to Apply:

Please apply here on LinkedIn or share your updated CV with us at [email protected] with the email subject - Senior AI Trainer – Actuaries

📌 Senior AI Trainer – Actuaries (India)
🏢 Millionlogics
📍 India