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AIG

Insurance Risk Modeling Senior Risk Analyst

London
Posted about 13 hours ago
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Join us as Insurance Risk Modelling Senior Risk Analyst

Make your mark in Risk Modelling

Reporting to the Head of Insurance Risk Modelling, you will support the development, calibration, testing, and enhancement of AIG's Insurance Risk capital models and associated business uses. The primary focus of the role is the quantification of non-catastrophic Insurance Risk, including Reserve Risk and Premium Risk, within AIG's Economic Capital Models. A significant component of the role involves the development and application of stochastic actuarial techniques to estimate the full probability distribution of unpaid claim liabilities. This involves end-to-end processes from methodology, coding, data gathering, model execution, assumption setting, measurement, testing, and communication of results to business stakeholders.

The role has a broad range of exposure, supporting both Solvency II models for UK and European entities, Canada, Bermuda, Japan, and Group Economic Capital Models. The models are used both for regulatory capital requirements and for internal uses such as capital allocation and inputs to technical pricing.

How you will create an impact

The role works closely with actuarial, risk management, underwriting, and finance teams across AIG's global operations. It is ideally suited to a candidate with strong interests in capital modelling, Insurance Risk, statistical methods, and coding.

Responsibilities

  • Develop stochastic actuarial models and applications for non-catastrophic Reserve and Premium Risks including AIG’s existing in-house models and advancement of related actuarial techniques.
  • Calibration of Insurance Risk parameters within AIG's Internal Capital Model. Includes both line of business volatilities and cross-line correlations. Analyse historical claims and underwriting data to develop model assumptions and parameters.
  • Translate business requirements into analytical solutions and model specifications.
  • Perform testing, sensitivity analysis, benchmarking, and validation of model results.
  • Support business partners in understanding Insurance Risk, capital requirements, and model outputs.
  • Communicate analytical approaches and results to both technical and non-technical audiences.
  • Maintain model documentation and support governance, validation, and review activities.
  • Respond to ad hoc requests relating to Insurance Risk and capital analysis.

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Experience

  • Experience working with programming languages such as Igloo, Python, R, VBA, MATLAB, or similar quantitative tools.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to evaluate model assumptions, data quality, and reasonableness of results.

What you’ll need to succeed

  • Experience in insurance, actuarial, capital modelling, or quantitative risk management.
  • Experience applying stochastic modelling techniques within Property & Casualty insurance or related areas.
  • Understanding of reserving, pricing, Insurance Risk, economic capital modelling, and risk aggregation principles.
  • Proven proficiency in mathematical, statistical, actuarial, and quantitative methodologies.
  • Knowledge of Solvency II and related insurance capital regulatory frameworks is advantageous.
  • Progress toward an actuarial qualification is desirable but not required.
  • Degree in Actuarial Science, Statistics, Quantitative Finance, Data Science, or Mathematics.

#LI-AIG

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

Enjoy benefits that take care of what matters

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing, and financial security—as well as your professional development—to bring peace of mind to you and your family.

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Reimagining insurance to make a bigger difference to the world

American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty, and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Welcome to a culture of inclusion

We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions, and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities, and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability, or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.

Functional Area:

RK - Risk

AIG Europe (Services) Limited

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Skills

Stochastic actuarial modeling
Capital modeling
Insurance risk
Reserve risk
Premium risk
Solvency II
Economic capital models
Data analysis
Python
R
VBA
MATLAB
Igloo
Statistical methods
Risk management
Actuarial techniques

Location

London, England, United Kingdom

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