At a Glance
- Tasks: Analyse data and support financial insights using Python and coding skills.
- Company: Join a leading finance company focused on innovation and collaboration.
- Benefits: Enjoy flexible working, competitive salary, and extensive training opportunities.
- Other info: Dynamic work environment with excellent career progression and diverse teams.
- Why this job: Make a real impact in finance while developing your technical skills.
- Qualifications: Strong analytical and technical skills, especially in Python and data modelling.
The predicted salary is between 40000 - 50000 £ per year.
We are looking for a systems thinker and a problem solver. You might have a background in data modelling, engineering, or research, or maybe you’re a finance professional who has experience answering analytical problems using Python. As a team we are responsible for performance reporting, senior stakeholder engagement and insight-focused analysis of our portfolio. The role adds significant value to Finance’s partnership with other areas of the business, supporting senior business partners in producing compelling analysis shared with key stakeholders.
Responsibilities include:
- Delivering regular reporting requirements
- Insightful analysis
- Process enhancement
- Partnership with stakeholder teams across the UK and US
What you’ll be doing:
- Synthesising and simplifying financial and non-financial data
- Supporting impactful pieces of analysis that drive finance and wider business insights
- Contributing to ad hoc requests from leadership
Key Responsibilities:
- Developing reporting to facilitate monitoring and communication of performance against targets or to support review of outlooks (i.e. forecasts) and budgets
- Ensure all month end activity is completed in an accurate and timely manner
- Streamlining processes by finding automation wins or easier ways of doing things
- Driving forward process enhancement‑related activities for the benefit of the department
- Working with team members to contribute to monthly financials review (MFR) meetings, Annual Budgets, and/or other reporting requirements
How you’ll be doing it:
- Competent use of all systems and applications relevant to the required outputs of the role (e.g. OneStream, Snowflake, Workday, GSuite, Microsoft Office)
- Leveraging large datasets and bringing together different sources of data to bring insights to the business
- Investigating new technologies and tools and supporting process improvement workstreams
- Pushing the envelope of our capabilities via new data and automation
- Collaborating across finance teams to support delivery of impactful analysis to key stakeholders
What we’re looking for:
- Strong analytical skills e.g. overall story, accuracy, spotting errors and asking the right questions
- Strong technical skills (e.g. familiarity with python, sql, some coding language experience etc) a major plus!
- Functional knowledge of accounting principles (e.g. P&L, budgets & forecasting, month end processes etc)
- Communication – tailoring written and verbal comms as appropriate within and outside Finance
- Relationship building and stakeholder management with teams internal and external to Finance
- Ability to coordinate a complex set of inputs with different drivers, timelines and priorities and bring it together in a story
- Continuous improvement and change‑agility mindset
Location and Work Arrangements:
This is a permanent position and can be based in our Nottingham or London office. Our hybrid working model offers you flexibility to work from our offices and from home. We’re big on collaboration and connection, and so our typical office days are on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we’re open to talking about an arrangement that works for you.
What’s in it for you:
- Role contributing to the roadmap of an organisation committed to transformation
- High performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
- Immediate access to core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season‑ticket loans, cycle to work scheme and enhanced parental leave
- Open‑plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head‑office has a fully‑serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café
Diversity, Equity & Inclusion:
Capital One is committed to diversity in the workplace. We pride ourselves on hiring the best people, building diverse and inclusive teams. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com. All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Recruitment & Support:
For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com.
FP&A Analyst - Python/Data Modelling/Coding focus employer: Capital One
Capital One is an exceptional employer, offering a dynamic work environment in Nottingham that fosters collaboration and innovation. With a strong commitment to employee development through extensive training programmes, competitive benefits including a generous holiday entitlement and private medical insurance, and a vibrant office culture featuring modern amenities like a fully-serviced gym and mindfulness rooms, we empower our team members to thrive both personally and professionally. Our hybrid working model ensures flexibility, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land FP&A Analyst - Python/Data Modelling/Coding focus
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or examples of your Python coding and data modelling, bring them along to interviews. It’s a great way to demonstrate your capabilities and stand out from the crowd.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common interview questions related to finance and data analysis. Practising your responses will help you feel more confident and articulate during the actual interview.
✨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!
We think you need these skills to ace FP&A Analyst - Python/Data Modelling/Coding focus
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical and technical skills in your application. If you've got experience with Python or data modelling, let us know! We want to see how you can bring those skills to the table.
Tailor Your Application:Don’t just send a generic application. Take the time to tailor your CV and cover letter to match the job description. Mention specific responsibilities from the role that excite you and how your experience aligns with them.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We love a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Capital One
✨Know Your Data Inside Out
Make sure you’re familiar with the types of financial and non-financial data relevant to the role. Brush up on your data modelling skills and be ready to discuss how you’ve used Python to analyse data in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex analytical problems. Think about specific instances where you streamlined processes or improved reporting, and be ready to explain your thought process during the interview.
✨Communicate Clearly and Effectively
Practice tailoring your communication style for different audiences. Be prepared to explain technical concepts in simple terms, especially when discussing your analysis with stakeholders who may not have a finance background.
✨Demonstrate Continuous Improvement Mindset
Highlight your experience with process enhancements and automation. Discuss any tools or technologies you’ve investigated that could improve efficiency, and show your enthusiasm for driving change within the team.