Data Scientist / Pricing Officer @ AXA
placeLondon, England, United Kingdom
businessOn Site
scheduleFull-time / Regular
Posted 4 days ago
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Email Hiring Manager
****** @axa.com
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Job Details
Job Title: Data Scientist / Pricing Officer
Division: Finance
Department: AXAPH FI Actuarial
Reporting to: Actuarial Controls Director
Main Purpose of the Job: Support the growth of GI Motor business by performing pricing processes that adhere to AXA’s Product Pricing guidelines.
Key Accountabilities:
- Conduct data analysis using statistical techniques and data mining methods.
- Provide technical support for product initiatives balancing growth and profitability.
- Recommend premium rates for new and existing products in alignment with standards.
- Suggest assumptions and develop pricing models consistent with product features.
- Generate profitability and sensitivity results while analyzing key product risks.
- Assist in product design changes to boost market competitiveness.
- Monitor profitability and risks and advise on repricing or product pull-out when required.
Experience and Qualifications:
- Bachelor’s Degree in Statistics, Mathematics, Computer Science, Actuarial Science or related discipline; Master’s is an advantage.
- Near Associate or Associate level of a recognized actuarial institute is a plus.
- 2 to 5 years of work experience in business-oriented teams (GI or retail insurance advantageous).
- Strong problem-solving skills and strategic thinking.
- Proficiency in at least one programming language (SQL, SAS, Python, R, etc.).
- Ability to collect, organize, analyze and disseminate large data sets with precision.
- Excellent presentation and story-telling skills to convey technical concepts to non-technical stakeholders.
Key skills/competency:
- Data Analysis
- Pricing
- Statistical Techniques
- Data Mining
- Actuarial Science
- Programming
- Model Development
- Profitability Analysis
- Risk Management
- Product Design
How to Get Hired at AXA
🎯 Tips for Getting Hired
- Research AXA's culture: Examine mission, values, and industry insights.
- Tailor your resume: Highlight data analysis and pricing skills.
- Network: Connect with current employees on LinkedIn.
- Proofread: Ensure accuracy in technical and analytical details.
📝 Interview Preparation Advice
Technical Preparation
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Review statistical analysis methods.
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Practice SQL, SAS, Python, or R.
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Study pricing model development basics.
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Update skills on data mining techniques.
Behavioral Questions
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Describe your teamwork in pricing projects.
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Explain handling analytical challenges under pressure.
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Discuss a time you simplified complex data.
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Share experience explaining technical results.
Frequently Asked Questions
What qualifications does AXA seek for a Data Scientist / Pricing Officer?
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How many years of experience are required for the Data Scientist / Pricing Officer role at AXA?
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What programming languages should a Data Scientist / Pricing Officer know at AXA?
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Is actuarial certification required for the Data Scientist / Pricing Officer role at AXA?
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What are the main responsibilities of the Data Scientist / Pricing Officer at AXA?
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How does AXA balance business growth and profitability in this role?
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What skills are crucial for success as a Data Scientist / Pricing Officer at AXA?
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Can candidates with a Master’s degree apply for the Data Scientist / Pricing Officer role at AXA?
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