Pricing Lead

1st Central

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profile Job Location:

Manchester - UK

profile Monthly Salary: Not Disclosed
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

Were 1st Central a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And thats the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!

Were looking for a Pricing Lead who is confident with data skilled in building models and motivated to shape how we turn insight into positive commercial outcomes while keeping the customer at the centre of every decision.

Youll use your judgement to spot opportunities that others might miss. That could mean improving the way we build models strengthening our pricing algorithm or finding smarter ways to optimise performance. Youll be trusted to challenge how things are done today and introduce changes that create genuine value for the business.

Hybrid working is part of how we operate. Youll spend most of your time working where you work best whether that is at home or in one of our offices in Salford Quays Manchester or Haywards Heath West Sussex. There are no fixed office days for the Retail Pricing team. You will only be expected to attend wider Pillar or Department meetings usually once a quarter.

Core skills were looking for to succeed in the role:

Education: BSc or MSc in Maths Physics Computer Science or a similar discipline

Languages: SQL Python

Software: Excel Emblem Radar SAS Databricks (or equivalent)

Management: Azure DevOps or Atlassian products GitHub

Analytical: Mathematics statistics strong problem-solving skills

Communication: Verbal (stakeholder sign-off meetings) and written (Confluence/PowerPoint)

Industry: Experience working in personal lines insurance

Whats involved:

  • Lead workstreams within the retail pricing team overseeing model build and advising on long term strategy of the team.
  • Solve key company questions and to provide collaboration insight and market advantage by producing recommendations and reports that maximise customer satisfaction and profitability.
  • Deliver key enablers across the business using project management techniques
  • Implement mathematical and statistical techniques including optimization generalised linear modelling and non-linear methods to improve the performance of the company
  • Provide input and advice into company strategy and the effective implementation of that strategy to meet company requirements
  • Perform data enrichment to deliver actionable value-creating insights.
  • Manage rate changes and implementation of new models and pricing algorithms.
  • Pro-actively seek ways to improve existing processes in the Retail Pricing Team.
  • Implement and advise on strategy with particular focus on customer behaviour and motor insurance market dynamics.
  • Recruit develop & motivate more junior stuff and control workloads.
  • Explore / learn new tools and techniques.
  • Maintain an ethically-sound workplace culture of inclusivity openness ownership collaboration innovation agility and respect
  • Represent the Senior Leadership team in meetings when required
  • Act as an initial contact for junior analysts

Experience & knowledge

  • Proven history of mathematical research (either in academia or in industry)
  • Proven ability to produce outstanding results based on own initiative
  • Strong background in statistical methods
  • Experience of predictive modelling
  • Experience of Radar SAS Emblem
  • Experience of personal lines insurance
  • Experience in people and project management is an advantage
  • Broad knowledge of statistical methods and techniques
  • A good understanding of probability theory
  • Mathematical optimization
  • Knowledge of motor insurance products and the motor insurance industry is an advantage

Skills & Qualifications

  • MSc/BSc in Maths Physics Computer Science or a similar discipline
  • PhD in Maths Physics Computer Science or similar is an advantage
  • Strong mathematical skills
  • Strong problem-solving skills with the ability to adopt a logical approach to solving problems
  • Excellent data and statistical skills
  • Strong IT skills (including Excel and ideally programming skills)
  • Good communication skills both verbal and written
  • Good time management and organisation skills

Behaviours

  • Logical thinker with solid reasoning ability
  • An organised and forward-looking approach
  • Ability to work on own initiative and as part of a team
  • Quick learner and keen to learn new methods and techniques
  • Able to transfer skills and knowledge to others
  • Emphasis on attention to detail and accuracy
  • A flexible approach and positive attitude
  • Self-motivated and enthusiastic
  • Commercially focussed
  • Strives to drive business improvements to contribute to the success of the business

Think youre a match Apply today and step into a role where your expertise drives real results discover where this opportunity could take you.

What can we do for you

People first. Always. Were passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so thats what we offer. Our workplaces are energetic inspirational supportive. To get a taste of the advantages youll enjoy take a look at all our perks in full here.

Intrigued Our Talent team can tell you everything you need to know about what we want and what were offering so feel free to get in touch.

Were 1st Central a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And thats the same for our colleagues too; we won Insurance Employ...
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Find your next job with First Central, a fast-growing UK insurer and innovator in data, which has offices in Sussex, Manchester, Guernsey and Gibraltar.

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