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Senior / Lead Risk Data Scientist statistical modelling

Adecco
Posted 18 days ago, valid for 11 days
Location

Bristol, City of Bristol BS6 5EX

Salary

£50,000 - £80,000 per annum

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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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  • Job Title: Senior Risk Scientist / Senior Data Scientist
  • Location: Hybrid 2 days in the Bristol office
  • Salary: Competitive
  • Experience Required: 5+ years

Job Title: Senior Risk Scientist / Senior Data Scientist

Location: Hybrid 2 days in the Bristol office

About the Company: We're a leader in the cyber risk industry, specializing in innovative solutions to manage and mitigate emerging threats. Using cutting-edge technology and advanced data analytics, we develop proprietary models that drive our business forward.

Role Overview: We're looking for a Senior Risk Scientist to play a critical role in advancing our proprietary cyber risk model. Based in Bristol, you'll work within a dynamic team focused on developing and refining large-scale stochastic models and high-performance computing systems. This position demands deep expertise in statistical modeling, probability, and high-performance scientific computing.

Key Responsibilities:

  • Lead the development and enhancement of our core cyber risk estimation system, ensuring its accuracy and effectiveness.
  • Collaborate with cross-functional teams to integrate new data sources and methodologies.
  • Conduct advanced statistical analyses and reporting to support risk assessment.
  • Optimize the computational performance and scalability of risk simulations.
  • Provide technical leadership and mentorship to junior team members.
  • Stay updated on the latest advancements in cyber risk measurement, data science, and high-performance computing.

Qualifications:

  • 5+ years of experience in fields like risk modeling, actuarial science, quantitative finance, or data science.
  • Proven expertise in large-scale stochastic model development and high-performance computing.
  • Strong proficiency in scientific Python, Spark, CUDA, and SQL; experience with Databricks is a plus.
  • Excellent problem-solving skills and the ability to communicate complex technical information clearly.
  • A STEM degree or equivalent industrial experience.

Why Join Us?

  • Competitive salary and benefits package, including pension, holiday allowance, private medical insurance, and more.
  • Opportunity to work with cutting-edge technology in a fast-growing industry.
  • Collaborative and inclusive work environment.
  • Strong prospects for career growth and development.

Ready to push the boundaries in cyber risk analysis? Join our team and make a significant impact!

Please apply now by sending your CV to the links below.

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.