Pricing Development Manager - Halifax; Reading; Home Based

TieTalent; Halifax; On-site; GBP 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a Pricing Development Manager to enhance pricing capabilities within Personal Lines. This role involves leading a team to leverage data science and advanced modeling techniques to drive strategic changes in pricing. With a focus on innovation and efficiency, you will develop pricing models and support stakeholders in achieving business objectives. The company values diversity and offers a supportive environment for professional growth, making it an exciting opportunity for analytical minds looking to make a significant impact.

Benefits

Flexible Working Hours

Annual Pay Review

Performance-Related Bonus

27 Days Holiday

Generous Pension Scheme

Private Medical Insurance

Tusker Car Scheme

Wellbeing Support

Professional Development Opportunities

Gym Discounts

Qualifications

• Expert understanding of predictive modeling and machine learning techniques.
• Minimum 2:1 bachelor’s degree (or equivalent) in an appropriate numerical subject.

Responsibilities

• Lead the development of enhanced pricing capabilities through data enrichment.
• Manage and develop analysts and senior analysts while promoting continuous improvement.

Skills

Numerical Skills

Analytical Skills

Predictive Modeling

Machine Learning

Project Management

Communication Skills

Interpersonal Skills

Education

Bachelor's Degree in Numerical Subject

Tools

Data Analysis Tools

Pricing Tools

Job description

About

Pricing Development Manager - Halifax, United Kingdom

Salary: Up to £80,000 (Dependent on Experience)

Covéa Insurance offers a wide range of home, motor, and commercial insurance backed by our award-winning customer service. Our purpose is to "help protect people against the worst happening and put it right if it does". It's the reason we are here, and it’s the task we all focus on every day.

An exciting opportunity has arisen to join our Pricing leadership team as a Pricing Development Manager, focusing on utilizing your analytical skills in developing pricing sophistication within Personal Lines. We’re looking for a candidate with extensive relevant experience who can provide subject matter expertise and leadership across the pricing team.

What will I be doing?

1. Leading the development of enhanced pricing capabilities through data enrichment, machine learning, automated monitoring, and data storytelling.
2. Supporting pricing leaders and the wider business to achieve objectives, including improving risk selection, loss ratio, and growth.
3. Managing and developing analysts and senior analysts, modeling company values, and promoting a culture of continuous improvement and agility.
4. Pushing boundaries by building a pipeline of innovative pricing solutions, leveraging data science and advanced modeling, and driving strategic changes in pricing and data-driven decision-making.
5. Exploiting opportunities to source internal and external datasets, particularly broker-specific assets, to enhance pricing models and minimize adverse risk selection.
6. Serving as a pricing subject matter expert, representing Pricing in key forums, and providing clear technical support to senior stakeholders, explaining complex information to non-technical audiences.
7. Developing and maintaining pricing, data science, and analysis tools, driving advancements in sandbox environments.
8. Automating, streamlining, and documenting pricing and modeling processes to ensure efficiency and strong governance.

You should apply if you have...

• Excellent numerical and analytical skills with high attention to detail and accuracy.
• Expert understanding of predictive modeling and machine learning techniques applicable to the technical rating of motor and home products.
• Exceptional critical thinking skills and intellectual curiosity, with the ability to solve problems.
• Good communication and interpersonal skills.
• Self-motivation, with the ability to lead, manage, and develop individuals and teams, remaining efficient under pressure.
• An ability to work collaboratively with senior stakeholders, and adapt to changing business needs in a competitive market.
• Project management skills would be a distinct advantage.
• Minimum 2:1 bachelor’s degree (or equivalent) in an appropriate numerical subject, or equivalent experience.
• Evidence of continued learning to keep pace with advancements in analytical techniques, data science, AI, and supporting technologies.
• Experience analyzing data using actuarial or analytical techniques and/or an understanding of general insurance underwriting principles.

We understand some candidates may hesitate to apply if they do not meet all criteria. At Covéa, we are committed to diversity and inclusion. If you are interested but do not fully meet all requirements, we still encourage you to apply.

What’s on offer?

• 36.25 working hours per week with flexible options.
• Annual pay review and a performance-related bonus of 12.5%.
• 27 days holiday plus bank holidays, with holiday buy/sell options.
• Generous pension scheme with employer contributions up to 9%.
• Health benefits including Private Medical Insurance, annual health assessments, and 24/7 Virtual GP access.
• Tusker Car Scheme – salary sacrifice for a fully maintained and insured car for up to four years.
• Support for mental, financial, and physical wellbeing through our Wellbeing group.
• Opportunities for professional development through training, qualifications, and apprenticeships.
• Additional benefits such as gym discounts, cycle schemes, and retail discounts via Perkpal.

Our Mission

We aim to create inclusive teams and workplaces where everyone has equal opportunity to succeed, celebrating diversity and encouraging authenticity. As a Disability Confident Employer, we are committed to fair recruitment processes and reasonable adjustments.

Salary: Up to £80,000 (Dependent on Experience)

Working Hours: 36.25 hours/week

Nice-to-have skills include Machine Learning and Data Science. Work experience in Data Engineering, Machine Learning, and Data Analysis is preferred. English is the required language.