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- Tasks: Join our team to develop and analyse complex stochastic models that protect people's pensions.
- Company: Pension Protection Fund, dedicated to safeguarding millions of UK pensioners.
- Benefits: Career development opportunities, flexible working, and a supportive environment.
- Why this job: Make a real impact on financial resilience while growing your skills in a dynamic team.
- Qualifications: Graduate level in scientific fields with knowledge of statistics and coding skills.
- Other info: Located near East Croydon station, embracing diversity and inclusion.
The predicted salary is between 28800 - 48000 £ per year.
We\’re the Pension Protection Fund. We protect millions of people in the UK who belong to defined benefit pension schemes. When these schemes fail, we\’re ready to help.
We do this by paying our members and by investing sustainably. Our work has a real impact on people\’s lives, so we strive to do it well, with integrity and their future in mind.
The PPF is delighted to announce the expansion of our Actuarial Risk & Modelling team. We are looking for a Junior Stochastic Modeller to join the team within this newly created position.
The role will form part of the Actuarial Risk & Modelling team, which is responsible for running the Economic Scenario Model (ESM) and for the development and operation of the Long-Term Risk Model (LTRM). These are complex stochastic models that are used to monitor the PPF\’s financial resilience and to assess risks to our funding objective.
More specifically, the Junior Stochastic Modeller will develop an understanding of inputs, methodologies, and outputs of the LTRM and be involved in designing, writing and testing code in Tyche for the LTRM, setting up and running the ESM and the LTRM, and checking and analysing the results of stochastic models, in particular the ESM and the LTRM.
Our ideal applicant will hold graduate level or equivalent in scientific fields with in-depth knowledge of statistics and probabilities and will be able to demonstrate relevant experience of stochastic modelling in a financial institution, consultancy firm or academia, with proficiency in a high-level coding language (e.g., Python or R). Applicants must be able to demonstrate that they have strong numerical and analytical skills with the ability to plan work, deal with conflicting priorities and ensure deadlines are met.
Sound like you? Apply now.
In return for your skills, experience and commitment we\’ll give you a challenging role within a business where you\’ll get the support you need to develop your career.
We\’ll also give you lots of opportunities for personal development and skills training.
Our Croydon office is just across the road from East Croydon station, which is around 15 minutes from Victoria or London Bridge, 10 minutes from Clapham Junction or half an hour from St Pancras.
We\’re proud to be a Disability Confident Leader, the highest accreditation under the Disability Confident Scheme. If you have a disability and meet the essential criteria for this role you will be guaranteed an interview.
We embrace diverse talent welcoming people with different beliefs, backgrounds and ways of working. Whatever your background, and however you identify, you\’ll be welcome here.
We\’re happy to talk about flexible working
No agencies please
INDMED
We\’re a statutory public corporation led by our board and accountable to Parliament through the Secretary of State for the Department for Work and Pensions. It\’s our duty to protect people with an eligible defined benefit pension when an employer becomes insolvent.
We\’re proud of the work we do. Without us, many people would face significant financial hardship. We\’re also proud of our people, all of whom are committed to our mission and to serving over 230,000 members.
PLACEHOLDER
Junior Stochastic Modeller employer: Pension Protection Fund (PPF)
Contact Detail:
Pension Protection Fund (PPF) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Stochastic Modeller
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to stochastic modelling. We recommend doing mock interviews with friends or mentors to build your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects or case studies that highlight your experience with stochastic models and coding. This will give you an edge and demonstrate your practical knowledge to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at the Pension Protection Fund.
We think you need these skills to ace Junior Stochastic Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Stochastic Modeller role. Highlight your experience with stochastic modelling, coding skills in Python or R, and any relevant projects. We want to see how your background fits with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working with us at the Pension Protection Fund. Share specific examples of your analytical skills and how they relate to the role. We love a good story!
Showcase Your Skills: Don’t just list your skills; demonstrate them! If you’ve worked on complex models or have experience with economic scenario modelling, make sure to include that. We’re looking for evidence of your capabilities, so be specific!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Pension Protection Fund (PPF)
✨Know Your Models
Make sure you have a solid understanding of stochastic models, especially the Economic Scenario Model (ESM) and Long-Term Risk Model (LTRM). Brush up on how these models work and their significance in assessing financial resilience. Being able to discuss these concepts confidently will show your genuine interest in the role.
✨Show Off Your Coding Skills
Since proficiency in a high-level coding language like Python or R is crucial, be prepared to discuss your coding experience. Bring examples of past projects where you've used these languages, and if possible, demonstrate your problem-solving approach to coding challenges related to modelling.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of statistics and probabilities. Review key concepts and be ready to explain how they apply to real-world scenarios, particularly in the context of financial institutions. Practising with mock interviews can help you articulate your thoughts clearly.
✨Demonstrate Your Analytical Skills
Highlight your strong numerical and analytical skills during the interview. Be ready to discuss how you've managed conflicting priorities in previous roles and how you ensure deadlines are met. Providing specific examples will help illustrate your capabilities and make a lasting impression.
