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Senior Data Scientist/ Senior Risk Scientist

Adecco
Posted a day ago, valid for a month
Location

Bristol, City of Bristol BS6 5EX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Senior Risk Scientist position is based in Bristol, UK, offering a hybrid work model with two days in the office.
  • This permanent role comes with a competitive salary ranging from £80,000 to £95,000, depending on experience.
  • The ideal candidate should have at least 5 years of experience in related fields such as risk modeling or data science, with a focus on large-scale simulations.
  • Key responsibilities include developing the Cybertooth model, conducting advanced statistical analyses, and providing mentorship to junior team members.
  • The role offers the chance to work with innovative technology in the cyber reinsurance sector, along with a comprehensive benefits package and opportunities for career growth.

Senior Risk Scientist Opportunity in Bristol, UK

Location: Bristol, UK (Hybrid 2 days in the office)Permanent roleSalary: £80,0000-£95,000 dependant on experience

About the Company:

My client is a leading player in the cyber reinsurance industry, focused on innovative solutions to manage and mitigate cyber risks. Utilising cutting-edge technology and data analytics, they develop proprietary models that drive the business forward.

The Role:Seeking an experienced and highly skilled Senior Risk Scientist to join the dynamic team in Bristol. In this crucial role, you will be at the forefront of developing and refining proprietary cyber risk model, Cybertooth. If you have a strong background in large-scale stochastic model development, high-performance scientific computing, and expertise in statistical modelling and probability, this could be the perfect opportunity for you.

Key Responsibilities:

  • Contribute significantly to the development and enhancement of Cybertooth, ensuring its reliability in assessing cyber risks.
  • Collaborate with cross-functional teams to integrate new data sources and methodologies.
  • Conduct advanced statistical analyses, industry threat assessments, and reporting to support cyber risk evaluation.
  • Optimise the computational performance and scalability of Cybertooth simulations.
  • Provide technical leadership and mentorship to junior team members.
  • Stay informed on the latest advancements in cyber risk measurement, data science, and high-performance computing.

What We're Looking For:

  • At least 5 years of experience in a related field, such as risk/catastrophe modelling, quantitative finance, or data science, with a focus on large-scale simulations.
  • Proven expertise in stochastic model development and high-performance scientific computing.
  • Proficiency in scientific Python; experience with Spark, CUDA, SQL, and Databricks is a plus.
  • Strong problem-solving abilities and the capacity to work both independently and collaboratively.
  • Excellent communication skills, with the ability to present complex technical information to non-technical audiences.
  • A degree in a STEM field or equivalent industrial experience.

Why Join Us?

  • Competitive salary and benefits package, including a 5% pension, 28 days of holiday plus bank holidays, private medical insurance, and death-in-service benefit.
  • Opportunity to work with cutting-edge technology and innovative solutions in the cyber reinsurance industry.
  • A collaborative and inclusive work environment.
  • Career growth and development opportunities.

This is an exciting opportunity to contribute to a forward-thinking company that is shaping the future of cyber risk management. If you're ready to take on a new challenge and make a significant impact, we'd love to hear from you!

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.