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Risk Actuary

Scry AI

2 - 5 years

Mumbai

Posted: 15/04/2026

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Job Description

Employment Type: Full Time

Location: Remote

Experience: Actuarial Science, Risk Modeling, Insurance Analytics, or Financial Risk Roles


Company Description


Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Our product suite includes Auriga for conversational AI, Collatio for document intelligence, and Concentio for cognitive IoT and operational intelligence. These platforms help clients convert complex, fragmented data into actionable enterprise intelligence.


We are looking for a Risk Actuary (SME) to bring deep actuarial expertise, support risk modeling, and guide solution alignment across Scry AIs insurance and financial risk-focused offerings. This role is critical in integrating actuarial knowledge with AI-driven analytics to enhance risk assessment, pricing, and decision-making.


Role Overview


As a Risk Actuary (SME) at Scry AI, you will leverage strong expertise in actuarial modeling, risk evaluation, and statistical analysis to support product, sales, and client engagements. You will be responsible for analyzing risk data, building and validating models, and providing insights that align with real-world insurance and financial risk practices.


This role is ideal for someone with deep actuarial experience who can translate complex risk concepts into structured, technology-driven solutions in a fast-paced environment.


Key Responsibilities

Actuarial Modeling & Risk Analysis


  • Develop and evaluate actuarial models for pricing, reserving, and risk assessment
  • Analyze historical data, trends, and exposure to quantify financial risks
  • Support scenario analysis, stress testing, and predictive modeling


Domain Expertise & Solution Alignment


  • Act as a domain expert for actuarial and risk management processes
  • Collaborate with product and engineering teams to align solutions with actuarial use cases
  • Provide inputs for risk models, analytics frameworks, and automation workflows


Client Engagement & Advisory


  • Engage with clients to understand risk frameworks, pricing strategies, and modeling requirements
  • Provide expert guidance on risk assessment, underwriting insights, and actuarial best practices
  • Support pre-sales discussions by articulating domain-led value propositions


Risk Governance & Compliance Awareness


  • Ensure models and processes align with regulatory standards and actuarial guidelines
  • Support validation, documentation, and audit readiness of risk models
  • Identify gaps and recommend improvements in risk controls and governance


Collaboration & Knowledge Sharing


  • Work closely with cross-functional teams including sales, product, and strategy
  • Develop documentation, frameworks, and best practices for actuarial workflows
  • Support internal enablement by sharing domain knowledge and risk insights


Required Qualifications and Skills


  • Strong experience in actuarial science, risk modeling, or insurance analytics
  • Deep understanding of actuarial methods, statistical modeling, and risk frameworks
  • Proficiency in tools such as Excel, R, Python, or actuarial software
  • Strong analytical and problem-solving skills
  • Ability to communicate complex models and insights clearly
  • Familiarity with regulatory requirements and actuarial standards


Our Ideal Candidate


  • Has deep expertise in actuarial modeling and risk assessment
  • Can translate complex risk concepts into structured, technology-aligned solutions
  • Is proactive in identifying risks and improving modeling accuracy
  • Is confident in client-facing discussions and advisory roles
  • Thrives in a fast-paced, data-driven environment
  • Is interested in AI, insurance technology, and advanced analytics


If this role interests you, follow our page to stay updated on more job opportunities and insights into how AI is advancing actuarial science, risk modeling, and financial decision-making.

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