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- Tasks: Automate portfolio monitoring and analyse financial data to support decision-making.
- Company: YouLend, a rapidly growing FinTech with a supportive and diverse culture.
- Benefits: Stock options, private medical insurance, gym access, and flexible working arrangements.
- Other info: Award-winning workplace with excellent career growth opportunities.
- Why this job: Join a high-growth team and make a real impact in the FinTech space.
- Qualifications: 2+ years in data analytics, strong SQL and Python skills, and a relevant degree.
The predicted salary is between 36000 - 60000 ÂŁ per year.
YouLend is a rapidly growing FinTech that is the preferred embedded financing platform for many of the world’s leading e-commerce platforms, tech companies, and Payment Service Providers. Our software platform enables our partners to extend their value proposition by offering flexible financing products in their own branding, to their merchant base, without capital at risk. We are owned by the leading Private Equity company, EQT, and have grown +100% year-on-year since 2020. We are headquartered in London, UK, but are also present in several European countries as well as the United States where we service our partners, including eBay, Amazon, Just Eat, Shopify, and Stripe.
To meet the growing demand for our technology and services, we are now seeking a Capital Markets Data Analyst to join our Finance/Capital Markets team. Being one of the fastest growing Fintech businesses globally, we are looking for exceptionally talented and self-motivated individuals who have a desire to build a career within the Company.
Responsibilities:
- Automate and optimize portfolio monitoring by building dashboards using visualisation tools
- Identify trends and communicate insights to the senior executives
- Build database tables alongside data-engineering teams to enable automation
- Assess and manage the performance of underlying capital mandates
- Perform financial analysis and develop cashflow models to support capital allocation and portfolio decision-making
The ideal candidate will have the following skillset:
- 2+ years of experience in data analytics, preferably within the Finance/Fintech sector
- Strong academic background including at least a Bachelor’s degree (Mathematics, Engineering, Statistics, Computational Finance) or equivalent
- Strong hands-on experience with SQL, Python
- Experience with data visualisation tools, e.g. Tableau
- Dbt (Data build tool) experience would be beneficial (but not required)
- Exceptional communication skills to help deliver insights to diverse stakeholders
Desirable skills:
- Detail oriented, outcome and process focused
- You are independent, ambitious, and self-motivated
Why join YouLend?
- Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work in 2024 and 2025” by the Sunday Times for being a supportive, diverse, and rewarding workplace.
- Award-Winning Fintech: YouLend has been recognised as a “Top 250 Fintech Worldwide” company by CNBC.
- High-growth (>100% growth during 2022 and 2023), so clear outlook to compensation (bonus or share option appreciation) and career growth (through growth with business).
- Well-capitalised with supportive private equity backing.
- Part of Banking Circle Group with a fully licensed Luxembourg bank, which can provide a balance sheet and support European expansion in otherwise complex regulated markets.
- A high-quality team that pushes each other to succeed through direct and aligned incentives.
- Strong and transparent team culture, we have each other’s backs.
- Independent work environment where results matter.
- Data-driven culture and emphasis on speed (anti-red tape).
We offer a comprehensive benefits package that includes:
- Stock Options
- Private Medical insurance via Vitality and Dental Insurance with BUPA
- EAP with Health Assured
- Enhanced Maternity and Paternity Leave
- Modern and sophisticated office space in Central London
- Free Gym in office building in Holborn
- Subsidised Lunch via Feedr
- Deliveroo Allowance if working late in office
- Monthly in office Masseuse
- Team and Company Socials
- Football Power League / Paddle and Yoga Club
At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.
Capital Market Data Analyst in City of London employer: YouLend Limited
Contact Detail:
YouLend Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Capital Market Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those at YouLend. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data visualisation projects or any SQL queries you've built. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by understanding our business model and the role of a Capital Markets Data Analyst. Be ready to discuss how your experience aligns with our goals and how you can contribute to our growth.
✨Tip Number 4
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 YouLend.
We think you need these skills to ace Capital Market Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Capital Market Data Analyst role. Highlight your experience in data analytics, especially within Finance or Fintech, and showcase your skills in SQL and Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how you can contribute to our team. Be sure to mention any relevant projects or experiences that demonstrate your analytical skills and ability to communicate insights.
Showcase Your Technical Skills: Since this role involves building dashboards and working with data visualisation tools, make sure to highlight your hands-on experience with these technologies. If you've used Tableau or similar tools, let us know how you've leveraged them to drive insights in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and you'll be one step closer to joining our amazing team at YouLend. Don't miss out on this opportunity!
How to prepare for a job interview at YouLend Limited
✨Know Your Numbers
As a Capital Market Data Analyst, you'll be dealing with financial data all the time. Brush up on your financial analysis skills and be ready to discuss cashflow models or portfolio performance metrics. Make sure you can explain how you've used data analytics in previous roles to drive decisions.
✨Showcase Your Tech Skills
YouLend is looking for someone with strong SQL and Python experience. Be prepared to talk about specific projects where you've used these tools. If you've worked with data visualisation tools like Tableau, have examples ready to demonstrate how you turned complex data into actionable insights.
✨Communicate Clearly
Exceptional communication skills are key for this role. Practice explaining technical concepts in simple terms, as you'll need to convey insights to diverse stakeholders. Consider preparing a brief presentation on a past project to showcase your ability to communicate effectively.
✨Understand the Company Culture
YouLend values independence and ambition. Research their company culture and think about how your personal values align with theirs. Be ready to share examples of how you've taken initiative in your previous roles and how you can contribute to their high-growth environment.