At a Glance
- Tasks: Join a fintech team to build a world-class data platform for trading strategies.
- Company: Dynamic fintech firm focused on automated systems and algorithmic trading.
- Benefits: Up to £65,000 salary, bonuses, and flexible remote work options.
- Other info: Relaxed, innovative environment with great opportunities for growth and creativity.
- Why this job: Make a real impact in the exciting world of sports betting and risk management.
- Qualifications: Degree in Comp Sci or Engineering; experience with Python, SQL, and AWS.
The predicted salary is between 72000 - 88000 £ per year.
Data Engineer – Fintech Up to 65,000 +benefits and bonsues Quant Capital is urgently looking for a Data Engineer to join our high profile client.
Our client is a small fintech who specialise in building automated systems and algorithmic trading strategies to make profit and manage ris.
They focus on alternative asset classes and have traded several billion pounds in the sports, gaming and energy sectors since 2010.
I am looking to add a data engineer to the team who will be responsible for delivering the organisation’s data strategy.
Their ultimate objective is to build a world-class data platform to assist with the rapid development of risk management strategies in the sports, power and other niche markets.
An ideal candidate is passionate about: technical challenges; proactively sourcing and collecting trading data; performant, well-structured databases; and making this high-quality, well-documented data available to the entire organisation to support our business strategy.
This data engineer will work across functions, liaising with our quantitative analysis, engineering and trading analytics teams.
You will have a major influence on the pipelines and frameworks we are building.
Day to Day the Data Engineer will: Work with multiple teams to understand the strategy of the organisation and proactively source data to support this strategy.
Effectively prioritise between data requests Create and maintain optimal data pipelines Contribute to the team by sharing new ideas and technologies in meetings Identify ways to improve data reliability, efficiency and quality Work with stakeholders including the product and data teams to assist with data-related technical issues and support their data infrastructure needs Document the organisation’s data structure Ultimately, build a world-class data resource for an industry-leading sports betting risk management firm The Data Engineer Must have: Comp Sci or Engineering Degree Significant experience with scripting languages (Preferably Python and Typescript)Experience with SQL and procedural languages Experience managing database performance Experience with data architecture Experience with AWS (Athena, S3, Glue, data pipeline)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for technologists, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
My client is based in Central London but the role is remote for the immediate future.
ETL, DATA,, EC2, Dev Ops, Linux, AWS, Java, CLoudwatch
Data Engineer – Trading 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.
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We think this is how you could land Data Engineer – Trading in London
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We think you need these skills to ace Data Engineer – Trading 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
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!
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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!
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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.
