At a Glance
- Tasks: Provide technical and data analysis for innovative business solutions.
- Company: Dynamic fintech firm focused on automation and operational efficiency.
- Benefits: Flexible working, exposure to financial services, and career growth opportunities.
- Other info: Work closely with business teams and gain valuable industry experience.
- Why this job: Join a cutting-edge team and make a real impact in the fintech space.
- Qualifications: Knowledge of data analysis, Tableau, and strong analytical skills.
The predicted salary is between 45000 - 55000 £ 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.
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.
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.§Work with the Business Change function, where required to support projects and change initiatives.§The Technical Analyst must have:§Working knowledge of data analysis and Tableau§Experience of operating with all different levels of an organisation.§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 Office Engineer in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Office Engineer in London
✨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 Quant Capital!
✨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 Technical Office Engineer at Quant Capital.
✨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 Quant Capital.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Office Engineer at Quant Capital, 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 Technical Office Engineer 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!
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 Quant Capital, 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 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!
How to prepare for a job interview at Quant Capital
✨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 Quant Capital!
✨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.
