Graduate Trainee - Risk Modelling Specialist

Maths, Statistics, Data, Analytics, Finance.

This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

It’s important we assess you for the programme that really suits your talents. Please only make one application, and note that if you make more than one we’ll only accept your first.

Why Risk Modelling Specialism?

My experience in Risk
Every area of our business is different – they each need their own skillsets, their own challenges, their own nuances. Who better to find out what working in a business area is like than from the people who are currently working there?

In Risk, our role is to make sure we're doing the right thing as an organisation, for our people and our customers. Risk management allows us to strike a balance between taking risks and reducing them.

It's our responsibility to manage risk across the bank, ensuring we have the right culture, strategy, and rules in place. We also manage interactions with key regulators, providing trusted advice to the colleagues who serve our customers.

Your graduate journey

As a graduate trainee Modelling Specialist in Risk, you get the best possible start to your career as we’ll equip you with the knowledge, skills, and experiences you’ll need to make a significant impact through your work.

Over the course of this two-year programme with three rotations, you can expect to:

  • Develop highly sought-after coding and modelling skills
  • Explore new technology developments, emerging regulations, and new strategic risks
  • Discover how to analyse and interpret historical data
  • Design, build, and validate risk models
  • Accelerate your risk modelling capability with hands on experience in the world of credit risk models and intendent model oversight
  • Understand how to identify, analyse, and report risks
  • Learn from industry experts and immediately apply your learnings

Entry requirements

To be eligible for our Risk Modelling graduate programme, you’ll need:

  • To have, or be on course to achieving a 2:1 in a STEM subject for your degree, preferably in a strong numerical discipline
  • An interest and experience in using programming languages
  • An understanding of statistical techniques, and how they are applied
  • A growth mindset and passion for learning
  • To be a keen problem solver
  • Good analytical skills
  • To enjoy collaborating and working as part of a team
  • The ability to think strategically

How you’ll benefit

We’ll reward you with a starting salary of £37,500 a year. And on top of your salary, you’ll have access to our flexible benefits package.

You can also expect to:

  • Gain meaningful exposure to senior leaders across the organisation
  • Enriching your learning through our NatWest Group Academy
  • Accelerating your business partnering and stakeholder management capability
  • Mastering your ability to influence change and challenge the status quo
  • Expanding your global professional network
  • Growing your confidence, building your resilience, and elevating your presence
  • Experiencing first-hand what it’s like working in a purpose-led organisation

At the end of two years, your programme will end, and we’ll support you to apply for your next job. Past graduates have been successful in applying to Risk Modelling Analyst roles.

Ready to apply?

The application window for this programme will be open until we receive enough applications to fill our cohort. When that happens, we’ll close the programme to new applications. It’s important to take the time to make sure you’re making the right decision about the programme you want to apply for (you can only apply for one programme) but please complete your application as soon as you can to make sure you don’t miss out!

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Job ID Number: R-00285723
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Add to Shortlist
Shortlisted
  • Deadline
    Ongoing
  • Hiring Multiple Candidates
    Yes
  • Salary
    £37,500 + benefits
  • Degree required
    2:1 and above
  • Location
    Edinburgh (Hybrid)
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Disciplines Accepted...
  • All STEM disciplines
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