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Data Scientist / Pricing Officer

AXA

London, England, United KingdomOn Site

Original Job Summary

Job Title: Data Scientist / Pricing Officer

Division: Finance

Department: AXAPH FI Actuarial

Reporting To: Actuarial Controls Director

Number of Direct Reports: 0

Main Purpose of the Job

Support the growth of GI Motor business by performing pricing processes adherent to AXA’s Product Pricing guidelines.

Key Accountabilities

  • Conduct data analysis using statistical techniques and data mining methods to identify trends, patterns, and insights.
  • Provide technical support for product initiatives and campaigns balancing business growth and profitability.
  • Recommend premium rates for new and existing products aligned with AXA’s product standards.
  • Recommend appropriate assumptions for product pricing.
  • Develop pricing models consistent with product features and assumptions.
  • Generate profitability and sensitivity results; analyze key product risks.
  • Assist in product design adjustments to increase market competitiveness.
  • Monitor profitability and key risks; advise on repricing or product pull-out if required.

Experience and Qualifications

  • Bachelor’s Degree in a quantitative field (Master's is an advantage).
  • Associate/ Near Associate level in a recognized actuarial institute is a plus.
  • 2 to 5 years relevant experience in business-oriented teams (GI or retail insurance advantageous).
  • Strong problem-solving skills and critical, strategic thinking.
  • Experience with at least one programming language (SQL, SAS, Python, R, etc.).
  • Ability to collect, organize, analyze, and disseminate large amounts of information accurately.
  • Strong presentation and story-telling skills to convey complex technical concepts.

Key skills/competency

Data Analysis, Pricing, Statistical Techniques, Actuarial, SQL, Python, SAS, R, Risk Analysis, Product Design

How to Get Hired at AXA

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analysis and pricing experience.
  • Research AXA: Review their mission, values, and recent news.
  • Emphasize technical skills: Focus on SQL, Python, SAS, or R.
  • Prepare for interviews: Practice explaining pricing models and case studies.

📝 Interview Preparation Advice

Technical Preparation

Review statistical methods and pricing model techniques.
Practice programming: SQL, Python, SAS, or R.
Study data mining and trend analysis concepts.
Prepare examples of analytical projects.

Behavioral Questions

Explain a complex project succinctly.
Describe teamwork in analytical tasks.
Detail problem-solving under pressure.
Discuss strategic decisions in pricing.