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For Companies At a Glance
- Tasks: Own risk pricing projects and develop predictive models for insurance products.
- Company: Join a growing, innovative insurance business making an impact in the industry.
- Benefits: Enjoy remote work flexibility and quarterly office meet-ups with a competitive salary package.
- Why this job: Shape pricing strategies, collaborate with teams, and influence key business decisions.
- Qualifications: 1-2 years in insurance pricing; skilled in data science tools and predictive modelling.
- Other info: Immediate consideration for applicants; strong communication skills are essential.
The predicted salary is between 36000 - 54000 £ per year.
Remote
Quarterly Office Meet up
Salary up to £45,000 + Package
Are you a skilled pricing analyst with a passion for data, modelling, and delivering commercial impact? This is a fantastic opportunity to join a growing and innovative insurance business where you’ll play a key role in shaping technical pricing strategy for delegated authority products.
We’re looking for a Technical Pricing Analyst who can drive improvements in risk model accuracy, collaborate with cross-functional teams, and help influence strategic decisions across the business.
What You’ll Be Doing:
- Take ownership of risk pricing projects, including model builds and regular refreshes across multiple product lines
- Collaborate with data teams to ensure high-quality, consistent datasets for modelling
- Develop and maintain predictive risk models to support profitable growth
- Work closely with Underwriting and Portfolio Management to align risk appetite and innovation with pricing models
- Support key commercial projects and act as a pricing subject matter expert (SME)
- Present complex findings in a clear, concise way to internal and external stakeholders
- Help shape best practice and contribute to the continuous improvement of pricing capability
Key Skills & Experience:
- Previous experience in general insurance pricing (personal or commercial lines)
- Skilled in predictive modelling techniques: GLMs, GBMs, Decision Trees, Random Forests, etc.
- Proficient in data science tools such as R, Python, SAS, SQL, or PySpark
- Familiarity with WTW’s Radar software is highly desirable
- A strong academic background in a quantitative subject (e.g. Mathematics, Statistics, Engineering, Computer Science)
- Ability to communicate technical analysis clearly to non-technical stakeholders
Who You Are:
- 1-2 years of experience in Insurance Pricing
- A logical thinker with a curious, proactive mindset
- Passionate about innovation, efficiency, and continuous improvement
- Comfortable working independently or collaboratively as part of a high-performing team
- Excellent communicator with the ability to build trust and influence
Please send your CV for immediate consideration.
Technical Pricing Anlayst employer: GerrardWhite
Contact Detail:
GerrardWhite Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Pricing Anlayst
✨Tip Number 1
Familiarise yourself with the specific predictive modelling techniques mentioned in the job description, such as GLMs and Random Forests. Being able to discuss these methods confidently during interviews will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Showcase your experience with data science tools like R, Python, or SQL by preparing examples of past projects where you used these skills. This will help you stand out as a candidate who can hit the ground running.
✨Tip Number 3
Prepare to discuss how you've collaborated with cross-functional teams in previous roles. Highlighting your ability to work with Underwriting and Portfolio Management will show that you understand the importance of alignment in pricing strategies.
✨Tip Number 4
Practice presenting complex data findings in a simple way. You might be asked to explain technical concepts to non-technical stakeholders, so being able to communicate clearly will be crucial in making a positive impression.
We think you need these skills to ace Technical Pricing Anlayst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in insurance pricing and data analysis. Emphasise your skills in predictive modelling techniques and any familiarity with tools like R, Python, or SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and innovation in pricing strategies. Mention specific projects or experiences that demonstrate your ability to drive improvements in risk model accuracy.
Highlight Communication Skills: Since the role requires presenting complex findings to non-technical stakeholders, include examples in your application that illustrate your ability to communicate technical analysis clearly and effectively.
Showcase Continuous Improvement Mindset: In your application, express your commitment to continuous improvement and innovation. Provide examples of how you've contributed to best practices or improved processes in previous roles.
How to prepare for a job interview at GerrardWhite
✨Showcase Your Technical Skills
Make sure to highlight your experience with predictive modelling techniques and data science tools like R, Python, or SQL. Be prepared to discuss specific projects where you've successfully applied these skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've improved risk model accuracy or collaborated with cross-functional teams to drive results.
✨Communicate Clearly
Since the role requires presenting complex findings to non-technical stakeholders, practice explaining your analyses in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Demonstrate Your Passion for Innovation
Share examples of how you've contributed to continuous improvement in previous roles. Discuss any innovative approaches you've taken in pricing strategies or risk assessment that align with the company's goals.
