At a Glance
- Tasks: Analyse data and develop innovative solutions for a leading wealth management firm.
- Company: Join a renowned UK wealth manager with a global client base.
- Benefits: Flexible working, competitive salary, and exposure to financial services.
- Other info: Gain valuable insights into asset management while working in a dynamic team.
- Why this job: Make an impact in fintech by automating processes and enhancing operational efficiency.
- Qualifications: Experience in data analysis, Tableau, and strong problem-solving skills.
The predicted salary is between 54000 - 66000 £ per year.
Technical Engineer – Fintech Tableau50k Flex Working Quant Capital is urgently looking for a Technical Analyst with data skills to join our high profile client.
Our client is a well know UK wealth manager with clients across the globe, they offer Institutional and Retail wealth management.
Their post Covid policy is to automate as much internally as they can for their clients.
Technology is now more important in Financial services than it has ever been, understanding and utilising data, from clean to raw is this firms priority.
This is a new role created to ensure operational efficiency and add value throughout the end-to-end operating model, leveraging technical expertise and data analysis.
An ideal candidate will be somebody with a passion for problem solving, a keen eye for detail and a desire to identify and deliver solutions.
The Tech Analyst will:§Provide technical and data analysis for Business Solutions across all initiatives.§Provide analysis and expertise to ensure innovative and automated solutions are deployed throughout the operating model.§Design and build prototypes of solutions where appropriate, including but not limited to data analysis, scripting, management information dashboards, spreadsheets and developed tools.§Ensure all new designs are incorporated into the standard operating model.§Work with the Business Change function, where required to support projects and change initiatives.§Working with outsource providers on product development, new functionality and improved solution design.
The Technical Analyst must have:§Working knowledge of data analysis and Tableau§Experience of operating with all different levels of an organisation.§Experience of working in a team environment.§Experience of working with or producing management information and reports.§Analytical thinking§Strong data manipulation skills§Suit someone great at self teaching via Google etc This is a new role working closely with the business team where you will gain serious exposure to financial services and asset management.
My client is based in Central London with 2 days expected in the Office.
Technical Engineer – Fintech Tableau in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Engineer – Fintech Tableau in London
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We think you need these skills to ace Technical Engineer – Fintech Tableau in London
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quant Capital. 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!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
