FinTech Business Analyst β€” Structured Products & UX

FinTech Business Analyst β€” Structured Products & UX

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
L

At a Glance

  • Tasks: Enhance UX of a cutting-edge SaaS platform and collaborate with investment banks.
  • Company: Join LinkedTrade, a forward-thinking FinTech company in London.
  • Benefits: Competitive salary, growth opportunities, and a chance to shape the Wealth Management industry.
  • Other info: Dynamic team environment with opportunities for professional development.
  • Why this job: Make a real impact in FinTech while working with innovative technology.
  • Qualifications: 1+ years in structured products, strong Python skills, and great communication.

The predicted salary is between 40000 - 50000 Β£ per year.

LinkedTrade is seeking a motivated Business Development professional to join their team in London. This role involves improving the UX of their SaaS platform and collaborating closely with investment banks to implement new product types.

The ideal candidate will have 1+ years of experience in structured products, strong Python capabilities, and excellent communication skills.

Join LinkedTrade to impact the Wealth Management industry and grow with state-of-the-art technology.

FinTech Business Analyst β€” Structured Products & UX employer: LinkedTrade

LinkedTrade is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation meets collaboration. Employees benefit from a supportive environment that encourages professional growth and development, alongside access to cutting-edge technology in the FinTech sector. Join us to make a meaningful impact in the Wealth Management industry while enjoying a vibrant team atmosphere and opportunities for advancement.

L

Contact Details:

LinkedTrade Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land FinTech Business Analyst β€” Structured Products & UX

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LinkedTrade!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like FinTech Business Analyst β€” Structured Products & UX at LinkedTrade.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LinkedTrade.

✨Apply Directly through Our Website

When you find a suitable opening like FinTech Business Analyst β€” Structured Products & UX at LinkedTrade, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace FinTech Business Analyst β€” Structured Products & UX

Business Development
User Experience (UX) Improvement
SaaS Platform Knowledge
Structured Products
Python Programming
Communication Skills
Collaboration with Investment Banks

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at LinkedTrade, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LinkedTrade. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at LinkedTrade

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LinkedTrade!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.