Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Risk Manager

London
5 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Risk Manager

Senior Fraud Data Analyst

Senior Fraud Data Analyst

Quantitative Risk Manager

Senior Data Analyst

Senior Data Engineer

Senior Risk Manager

  • Based in London (Hybrid)
  • Salary: £60,000 - £95,000p/a
    About the Company:
    A multi-national organisation specialising in large-scale infrastructure projects, known for delivering complex and high-profile developments across various sectors, including transport, energy, and utilities.
    Role Summary:
    As a Project Risk Manager, you will play a key role in identifying, analysing, and mitigating risks associated with large infrastructure projects. You will be responsible for ensuring that project teams are aware of potential risks, and for developing and implementing strategies to manage these risks effectively. The successful candidate will have extensive experience in Quantitative Cost Risk Analysis (QCRA) and Quantitative Schedule Risk Analysis (QSRA), ensuring that all risk management processes meet the highest industry standards.
    Key Responsibilities:
  • Conduct detailed QCRA and QSRA to support cost and schedule forecasting, and provide actionable insights to project teams.
  • Develop and maintain risk registers, ensuring risks are regularly reviewed and updated in collaboration with stakeholders.
  • Monitor project performance, ensuring risks are properly managed and controlled, and any issues are escalated appropriately.
    Qualifications and Experience:
  • Proven experience as a Project Risk Manager within large-scale infrastructure projects.
  • Strong expertise in QCRA or QSRA methodologies.
  • Familiarity with industry-standard risk management software and tools.
  • Relevant professional certifications in risk management (e.g., PMI-RMP, APM Risk Certificate) are desirable.
    This Role Offers:
  • Opportunity to work on high-profile international infrastructure projects.
  • Competitive salary and benefits package.
  • Career growth and development opportunities within a global organisation.
  • Collaborative and diverse work environment.
  • Flexible working options (where applicable).
    Please apply below and send a recent copy of your CV

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Education

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Jobs

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

Careers

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.