Graduate Trainee - Risk Modelling Specialist

RBS; Belfast City District; Hybrid; GBP 34,000 - 41,000; Full time

Benefits offered by this job

Senior leadership exposure

NatWest Group Academy

Business partnering development

Influence change

Global professional network

Growth and resilience development

Job summary

RBS is offering a two-year graduate programme as a Risk Modelling Specialist, designed to develop coding, modelling and risk analysis skills. You’ll gain exposure to senior leaders, work within a hybrid environment, and benefit from the NatWest Group Academy to accelerate your capability in risk modelling and stakeholder management.

Starting salary is £37,500 per year, with a comprehensive flexible benefits package.

Qualifications

• To be eligible for our Risk Modelling graduate programme, you’ll need: a 2:1 STEM degree, preferably in a numerical discipline
• Experience or interest in programming languages
• Understanding of statistical techniques and how they’re applied
• Growth mindset and passion for learning
• Keen problem solver with good analytical skills
• Enjoy collaborating and working as part of a team
• Ability to think strategically

Responsibilities

• Develop highly sought-after coding and modelling skills
• Explore new technology developments, emerging regulations, and strategic risks
• Analyse and interpret historical data
• Design, build, and validate risk models
• Accelerate your risk modelling capability with credit risk models and oversight
• Identify, analyse, and report risks
• Learn from industry experts and apply learnings

Skills

STEM degree

Programming languages

Statistics knowledge

Growth mindset

Problem solving

Analytical skills

Team collaboration

Strategic thinking

Education

2:1 STEM degree

Job description

Why Risk Modelling Specialism?

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, 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

What’s in it for you?

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

You can also look forward 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.

Entry requirements

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

• Tohave, 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

Hours

35

Job Posting Closing Date:

Job Posting Closing Date is not yet published.

Ways of Working:Hybrid