At a Glance
- Tasks: Lead the development of a new Data Warehouse and credit models in a dynamic fintech environment.
- Company: Join a well-known global fintech company with a relaxed, innovative culture.
- Benefits: Competitive salary, 10% bonus, remote work, and a collaborative team atmosphere.
- Other info: Work in a Facebook/Google-like environment with excellent career growth opportunities.
- Why this job: Make a real impact in a growing data science function with cutting-edge technology.
- Qualifications: 7 years of Data Engineering experience, strong SQL, and Python/R skills.
The predicted salary is between 110000 - 110000 £ per year.
Quant Capital is urgently looking for a Lead Data Engineer to join our high profile client. My Client is a well known global financial software (fintech) business that has developed a unique proprietary front office lending solution. They have grown significantly over the past few years and are looking to add a motivated and experienced individual to lead their growing data science function.
Day to Day the Lead Data Engineer will:
- Build a new Data Warehouse
- Build the Data Environment
- Build out a new set of credit models (with some help)
- Monitor and report on these models, taking oversight across the modelling process
Lead Data Engineer should have:
- 7 years of Data Engineering experience
- Experience building a data warehouse
- Experience of building a new data environment
- Strong SQL
- Strong skills in Python/SQL or R
- Strong understanding of data warehousing
- Ideally some interest in AI Tooling
The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. My client is based in West London, 2 days per month in the office maximum.
Lead Engineer/Data 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 Lead Engineer/Data Engineer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Engineer/Data 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.
