Specialist Specialist, AFR
Gurgaon, Haryana, India
We invent the new to help the world move forward. Combining powerful analytics and deeper insights with bigger ideas and innovative solutions, we free up our clients potential, thereby fulfilling our own. Take it seriously. Make it fun. Know it matters. As a Specialist Actuary, you will play a key role in multiple analytics projects within Property & Casualty insurance and reinsurance, focusing on Reserve Risk and related actuarial initiatives. You will collaborate closely with reserving and capital modelling actuaries to estimate the variability in booked reserves, apply Solvency II insights, and develop innovative methodologies. Your work will contribute directly to strategic decision-making across Reserving, Capital Modelling, and Group Risk Management. As a part of a small team globally looking at reserve risk and you will have the chance to directly contribute to the decision-making process.
What youll be DOING
What will your essential responsibilities include?
- Deliver multiple projects for P&C insurance and reinsurance, focusing on Reserve Risk and other actuarial initiatives.
- Apply Solvency II directives and translate their implications for Technical Provisions and Reserve Risk across AXA XL and its entities.
- Assess reserve variability across divisions and entities; identify key uncertainty drivers and report findings to stakeholders.
- Develop and refine approaches to estimate reserve variability, and implement and validate stochastic methodologies.
- Liaise closely with stakeholders across Reserving, Capital Modelling, and Group Risk Management to align priorities and deliverables.
- Support Risk Analytics through the development of analytical tools, risk analyses, and predictive modelling capabilities.
- Drive research and development initiatives in Reserve/Reserve Risk and claims analytics; deliver innovative actuarial solutions.
- Maintain method and calibration documentation, model parameter libraries, and contribute to management information packs, expert judgments, and variance analyses.
- Apply technical information to practical situations, identifying opportunities for process improvement and innovation.
- Ensure high-quality outputs that establish credibility with stakeholders and senior management.
- Actively train and hold knowledge sharing sessions with new/ junior team members.
You will report to Actuary (AVP).
What you will BRING
Were looking for someone who has these abilities and skills:
Required Skills and Abilities:
- Education: Undergraduate degree required.
- Actuarial credentials: Qualified/ nearly qualified Actuary from the Institute of Actuaries of India or the Institute and Faculty of Actuaries (UK). Progress toward additional exams is highly desirable.
- Domain experience: Relevant years of experience in the actuarial field, preferably in reserving and/or capital modeling with in-depth understanding of insurance reserving concepts and actuarial control cycles.
- Technical skills: Robust Excel, Word andpresentational skills and familiarity with other analytical tools (e.g., VBA, SQL, Python/R) is a plus.
- Mindset and approach: Willingness to confront the status quo and continuously improve existing frameworks and attention to detail with a keen eye for accuracy and quality in all work.
- Communication: Robust oral, presentation, and written communication skills.
- Analytical capability: Good analytical and problem-solving ability. Proven modeling, analytical, and research/problem-solving abilities.
- Work management: Ability to handle multiple priorities and tight deadlines; comfortable taking ownership of priorities and deadlines for oneself and, as needed, for others.
- Collaboration: Ability to develop and leverage collaborative relationships to achieve work goals.
- Team building: Mentorship and training skills with the ability to transfer knowledge across teams.
Desired Skills and Abilities:
- Additional actuarial credentials or advanced degree.
- Experience in stochastic modelling, risk analytics, predictive modelling, or analytical dashboard development.
- Experience in statistical analysis or predictive modelling.
- High level of autonomy and problem-solving ability.
- Outstanding team collaboration and resilience under pressure.
- Quality review, accuracy, and innovation orientation.
- Technical proficiency in SQL, SAS, R, or VBA.
