At a Glance
- Tasks: Support experienced analysts on exciting data projects and develop your analytical skills.
- Company: Join Jaywing, a dynamic data-driven consultancy with a unique culture.
- Benefits: Enjoy competitive salary, 25 days holiday, and hybrid working options.
- Other info: Mentorship provided, with opportunities for professional growth and collaboration.
- Why this job: Gain hands-on experience in predictive modelling and credit risk management.
- Qualifications: Must be studying a relevant postgraduate degree with strong coding skills.
The predicted salary is between 20000 - 30000 £ per year.
Postgraduate year placement as part of your degree (10 to 12-month temporary role).
Salary: Competitive
Location: Hybrid working: mostly based from home and 1 day per week at our Leeds office.
Placement Duration: To start August/September 2026 and run until Summer 2027.
About Jaywing: Founded in 1999, and now part of Stubben Edge Group, Jaywing’s heritage is in data science, predictive modelling and analytics that support both our risk and marketing clients. We collate, manage and analyse huge volumes of data to help businesses better understand their customers, optimise their lending strategies, and make the most of their marketing budgets. A large part of our work is in the support of bad debt (IFRS9) and capital (IRB) modelling and management.
Our Consulting team have many clients ranging from retail finance houses such as Frasers, to big banks like TSB, start-up lenders like Starling, and public sector organisations. We are seeing increased demand from our clients for our services, and this has created a vacancy for 2 postgrad placement year Junior Analysts. One role will focus on predictive modelling and analytics; the second would be more suited to candidates with a finance background and will cover IFRS9 and IRB concepts.
Jaywing has a unique working culture with a variety of projects that will keep you stimulated and give you experience of what it’s like to work for a data-driven consultancy. We put people at the heart of our business, an ethos that means our consultants stay with us for many years.
Role Purpose: The successful candidates will initially be allocated to support more experienced analysts and consultants on a large project for one of our clients. By the end of the placement, you can hope to leave with:
- A strong understanding of how to handle data and produce insight related to measuring credit risk.
- An introduction to how lenders manage credit risk, including credit scoring, modelling techniques, IFRS9 and bad debt modelling, IRB and Capital requirements.
- An ability to work independently to produce and communicate meaningful data-driven insights and recommendations to a variety of stakeholders.
- More confidence in presenting your results to internal teams and potentially to clients (with support).
- The ability to develop and maintain strong relationships with colleagues.
- Skills necessary to support wider teams and collaborate on multi-disciplinary projects.
Skills Required:
- Studying a relevant Masters/postgraduate degree such as Mathematics and/or Statistics, Economics, Data Science, Computer Science, Big Data Analytics, Data analytics with Finance & Banking, etc.
- Strong coding skills in Python, R, SAS or SQL.
- Problem-solving skills and good attention to detail.
- You’ll possess an analytical mind and excellent communication skills.
- Inquisitive, enthusiastic and flexible – willing to take on whatever project comes your way.
- Able to organise your workload and keep colleagues and managers updated on your progress.
- Excited to work in a fast-paced and intellectually stimulating environment where you will be given plenty of opportunity to develop and learn new skills.
- A basic understanding of some of the following tools would be helpful although not essential – Excel, Power BI, Tableau, Google Analytics, PowerPoint.
- Preference will be given to candidates who already have some relevant work experience, which could be a previous placement or full-time role.
Eligibility Criteria:
- Must be studying an eligible course (Postgraduate course with placement year – in one of the subjects mentioned above).
- Have right to work in the UK.
- Have access to accommodation in or with easy access to Leeds.
- Bachelor degree in a numerate subject.
Key Accountabilities: Mentoring will be provided by our team of Analytical Consultants and you will also be assigned a work ‘buddy’ who will guide and support you. We have a flexible structure and approach which means the successful candidates will have the opportunity to work on a variety of projects. Projects will vary; typical requests may include writing some code to extract data, summarising the results, and writing commentary on your findings. You may also work on longer-term projects such as supporting a model development/review. At all times you will be provided with appropriate support from project leads and colleagues. We are professional without unnecessary formality, and both our people and clients welcome and enjoy this refreshing approach.
More Information: Jaywing employees are entitled to 25 days’ holiday (plus bank holidays) annually. Our contracted hours are 35 per week.
JUNIOR ANALYST - POSTGRADUATE YEAR PLACEMENT in Bradford employer: Jaywing
Jaywing is an exceptional employer that prioritises the growth and development of its employees, offering a unique working culture where data-driven consultancy thrives. With a hybrid working model based in Leeds, you will benefit from a stimulating environment, mentorship from experienced analysts, and the opportunity to work on diverse projects that enhance your skills in data science and analytics. Our commitment to employee well-being is reflected in our generous holiday allowance and supportive team dynamics, making it an ideal place for aspiring analysts to launch their careers.
StudySmarter Expert Advice🤫
We think this is how you could land JUNIOR ANALYST - POSTGRADUATE YEAR PLACEMENT in Bradford
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Jaywing.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Jaywing a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Jaywing.
We think you need these skills to ace JUNIOR ANALYST - POSTGRADUATE YEAR PLACEMENT in Bradford
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Jaywing
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Jaywing. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Jaywing specifically. Let your motivation shine through!
