Group Manager - Actuarials Capital Modelling GGN - WFO

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

Purpose:

• Lead actuarial capital modelling and risk analytics delivery within agreed timelines and quality standards
• Provide technical leadership for Internal Model, Solvency II, Economic Capital and Capital Management activities.
• Drive model development, validation, governance, automation and continuous improvement initiatives.
  
  
  

• Minimum 10 years of experience in Life Insurance Actuarial domain.
• Minimum 4+ years in a people management role.
• Significant experience in Solvency II Internal Model, Standard Formula, Economic Capital or Risk Modelling.
• Experience working directly with UK Life Insurance clients and stakeholders.
  
  
  

• Extensive experience in Solvency II Internal Model and/or Standard Formula capital calculations.
• Strong understanding of Market Risk, Credit Risk, Insurance Risk, Operational Risk and Liquidity Risk.
• Lead SCR calculations, validation and reporting.
• Perform Economic Capital assessments and capital forecasting.
• Support ORSA, capital management and risk appetite monitoring.
• Analyse impacts of management actions, asset strategy changes and new business growth on capital position.
  
  
  

• Strong experience with Prophet Professional, Prophet Enterprise and Prophet ALS.
• Experience in stochastic modelling and economic scenario generation.
• Internal Model development, calibration and parameterisation.
• Stress testing, sensitivity analysis and reverse stress testing.
• Capital attribution, movement analysis and model performance monitoring.
• Validation, back-testing and assumption review activities.
  
  
  

• Strong understanding of Solvency II governance requirements.
• Support Internal Model governance committees and regulatory submissions.
• Ensure compliance with model risk management frameworks and validation standards.
• Maintain robust documentation, audit trails and controls.
• Support regulatory reviews and audit activities.
  
  
  

• Strong programming expertise in Python, R and SQL.
• Experience in automation of actuarial modelling processes.
• Develop analytical tools and management dashboards.
• Experience working with Snowflake, Azure or other cloud-based data platforms.
• Drive efficiency and process enhancement initiatives.
  
  
  

• Lead strategic capital modelling transformation initiatives.
• Manage project plans, stakeholder communications and delivery governance.
• Coordinate with Actuarial, Finance, Investment and Risk teams.
• Identify opportunities for process improvement and model optimization.
• Ability to think creatively and solve complex business problems.
  
  
  

• Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Economics, Engineering or a related quantitative discipline.
• Progressing towards or qualified Fellow of IFoA, SOA, IAI or equivalent actuarial body.
• Fully Qualified Actuary preferred.
  
  
  

• Expert knowledge of Solvency II capital requirements and life insurance products.
• Strong Prophet modelling expertise, including ALS and stochastic modelling.
• Capital model validation and risk analytics experience.
• Advanced Python, R and SQL programming skills.
• Strong analytical and problem-solving capability.
• Experience handling large actuarial datasets and model outputs.
  
  
  

• Excellent communication skills (verbal and written).
• Strong stakeholder management and influencing skills.
• Ability to work under stringent timelines.
• Strong project management skills.
• Strategic thinking and effective decision-making.
• Ability to manage multiple priorities simultaneously.
  
  
  

• Strong attention to detail.
• Customer-centric mindset.
• Ownership and accountability.
• Commitment and reliability.
• Team player with a strong learning orientation.
• Versatile and adaptable.
  
  
  

• Ability to engage effectively with client and stakeholder teams.
• Ability to communicate complex actuarial concepts to non-technical audiences.
• Ability to have challenging discussions while maintaining professionalism and customer focus.
• Strong listening and problem-solving skills.
• Ability to understand and respond appropriately to client requirements and concerns.