At a Glance
- Tasks: Conduct quantitative risk assessments and deliver data-driven insights for major railway projects.
- Company: Join East West Railway Company, a key player in the UK's infrastructure development.
- Benefits: Enjoy 36 days holiday, up to 12% pension contribution, and flexible working options.
- Why this job: Make a real impact on transport connections and economic growth in vibrant communities.
- Qualifications: Experience in quantitative risk analysis and proficiency in Monte Carlo simulation required.
- Other info: Diverse and inclusive workplace with excellent learning and development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
East West Railway Company was created by the Department for Transport (DfT) to oversee the delivery of East West Rail, from construction through to wheels in motion. East West Rail is a nationally significant railway project which aims to deliver much-needed transport connections for the vibrant communities between Oxford, Milton Keynes, Bedford and Cambridge, which blend beautiful landscapes and a rich cultural heritage with globally renowned centres of education, business, technology and an increasingly dynamic business scene. Together these communities contribute around £111 billion to the national economy each year. As one of the UK’s largest infrastructure projects, the government committed to delivering EWR in full in the Autumn 2024 Budget, and again in the 2025 Spending Review, as part of its ambition to unlock the potential of the Oxford to Cambridge Growth Corridor. EWR is being championed by the Government as a key driver to economic growth leading to a potential £78 Billion boost to the UK economy: supporting new towns, housing, and regeneration, whilst improving commuting and leisure travel options across the region.
This role will be responsible for delivering advanced cost and schedule risk modelling to support decision-making across all EWR phases. The role involves the use of Monte Carlo simulation and other statistical techniques to assess uncertainty and its impact on budgets, timelines, and delivery outcomes. The analyst provides clear, data-driven insights and supports the integration of risk with planning and cost controls.
Responsibilities
- Conduct Quantitative Risk Assessments (QRA) for cost and schedule using tools such as @Risk, Primavera Risk Analysis (PRA), and Safran Risk.
- Integrate qualitative risk data (from ARM or other systems) into quantitative models to produce outputs that support EWR's investment planning and assurance needs.
- Work with planners, estimators, commercial, and risk leads to validate assumptions, develop risk models, and ensure alignment with EWR’s cost plans and programme schedule.
- Present QRA outcomes (e.g. P50, P80 values, key risk drivers, variance analysis) in reports, dashboards, and briefings for DfT, EWR Executives, and other governance forums.
- Support periodic risk refresh cycles, including data quality checks, model updates, and scenario testing.
- Maintain full auditability of modelling inputs, logic, and outputs, ensuring compliance with EWR, DfT, and IPA standards for risk reporting.
- Collaborate closely with the Programme Controls, Finance, and Delivery teams to align risk modelling with actual performance and change.
Qualifications
- Strong experience in quantitative risk analysis, preferably within major UK infrastructure programmes.
- Proficiency in Monte Carlo simulation and risk modelling using tools such as @Risk, Primavera Risk Analysis (PRA), Safran Risk.
- Strong understanding of project controls and how risk interacts with cost estimating, scheduling, and change control.
- Familiarity with reporting risk positions relative to cost plans, contingency, and governance expectations (e.g. P50/P80 targets).
- Ability to analyse and interpret complex datasets and communicate findings clearly to both technical and non-technical audiences.
- Strong Excel and data visualisation skills; familiarity with ARM or similar risk systems is a plus.
- Membership / Student membership of a relevant professional institute, for example the Institute of Risk Management or Institute of Project Management.
What we offer
- Up to 12% employer’s pension contribution
- 36 days holiday a year (including bank holidays) + up to 2 days to buy
- Life assurance
- Employee Assistance Programme
- Access to a range of benefits on the Perkbox platform
- On-the-spot and annual awards
- Advanced learning and development programmes
- Great work-life balance and flexible working opportunities
- Enhanced family-friendly policies
Diversity and Inclusion
To discover the best solutions, it’s important we embrace diversity of thought. That’s why we aim to ensure our colleagues feel included, engaged and valued. Inclusiveness is not a buzzword, but a way of being. Our approach to diversity is simple – a workplace where everyone is welcome and everyone is encouraged to be themselves. It helps fuel our innovation and connects us with the customers and communities we serve. We are open to secondments through the Rail Industry Talent Exchange Programme.
Quantitative Risk Analyst in Milton Keynes employer: East West Railway Company
Contact Detail:
East West Railway Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to current or former employees at East West Railway Company on LinkedIn. A friendly chat can give us insider info and might just land you a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Monte Carlo simulation skills. We want to show that we can handle the technical side of things, so practice explaining complex concepts in simple terms.
✨Tip Number 3
Don’t forget to showcase your data visualisation skills! Bring along examples of your work to the interview. We want to see how you can turn complex datasets into clear insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of the East West Railway team.
We think you need these skills to ace Quantitative Risk Analyst in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Risk Analyst role. Highlight your experience with Monte Carlo simulation and risk modelling tools like @Risk and Primavera Risk Analysis. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the East West Rail project and how your background makes you a perfect fit. Let us know what excites you about contributing to such a significant infrastructure initiative.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Provide examples of how you've used data to drive decisions or improve processes in previous roles. We love seeing clear, data-driven insights that demonstrate your expertise!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at East West Railway Company
✨Know Your Tools
Make sure you're familiar with the tools mentioned in the job description, like @Risk and Primavera Risk Analysis. Brush up on how to conduct Quantitative Risk Assessments (QRA) and be ready to discuss your experience using these tools in previous roles.
✨Understand the Project Context
Research East West Railway Company and its significance in the UK infrastructure landscape. Be prepared to talk about how your skills can contribute to the project's goals, especially regarding economic growth and community impact.
✨Prepare for Data Discussions
Since the role involves analysing complex datasets, practice explaining your findings clearly. Think of examples where you've communicated technical information to non-technical audiences, as this will show your ability to bridge the gap between data and decision-making.
✨Showcase Your Collaboration Skills
The role requires working closely with various teams. Prepare examples of how you've successfully collaborated with planners, estimators, or finance teams in the past. Highlight your ability to align risk modelling with actual performance and change, as this is crucial for the position.