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Finance and Insurance 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Insurance & Risk Modeling

Apex Risk Solutions
London
Salary Estimate
GBP 55.000 – GBP 75.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Apex Risk Solutions is a premier provider of innovative insurance analytics, empowering clients to navigate complex market landscapes with confidence. We are seeking a highly analytical and strategic Senior Data Analyst to join our elite Risk Modeling team in the heart of London.

In this pivotal role, you will leverage advanced data science techniques to assess risk exposure, optimize underwriting strategies, and drive data-informed decision-making. If you are passionate about transforming raw data into actionable intelligence and possess a deep understanding of the insurance sector, we want to hear from you.

Responsibilities

  • Design, develop, and maintain complex predictive models to assess and mitigate insurance risks.
  • Collaborate with underwriters and actuaries to translate business requirements into technical data solutions.
  • Perform deep-dive data analysis to identify trends, anomalies, and opportunities for process improvement.
  • Create interactive dashboards and visualizations using tools such as Tableau or Power BI to communicate insights to stakeholders.
  • Ensure data integrity and accuracy across all reporting systems and databases.
  • Lead data audits and validate model performance against regulatory standards.
  • Mentor junior analysts and contribute to the technical roadmap of the data department.

Qualifications

  • Minimum of 5 years of experience in data analysis, with a strong focus on the insurance or financial services sector.
  • Proven expertise in SQL, Python, and R for data manipulation and statistical modeling.
  • Strong understanding of actuarial science principles and risk management frameworks.
  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • Experience with data visualization tools (Tableau, Power BI, or Qlik).
  • Excellent communication skills with the ability to present complex data findings to non-technical audiences.
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

SQL Python R Tableau Power BI Risk Modeling Actuarial Science Data Visualization Statistical Analysis Excel Insurance Underwriting Data Mining

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