At a Glance
- Tasks: Join a dynamic team to develop cutting-edge trading software and algorithms.
- Company: A leading quant hedge fund with a relaxed, innovative culture.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Other info: Collaborative atmosphere with a focus on creativity and innovation.
- Why this job: Be at the forefront of technology in finance and make a real impact.
- Qualifications: PhD in Maths/Physics/Engineering, strong Java skills, and financial services experience.
Java Data Engineer – Hedge Fund200k Quant Capital is urgently looking for a Java Data Engineer to join our high profile client.
Our client is a $2 billion strong quant hedge fund with performance figures of 22%.
They are currently looking to expand their high and intraday trading presence across FX and commodities.
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 those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
The Execution Technology team build the platform, tools and algorithms that enable investment models.
This includes the continued evolution and expansion of the firms bespoke multi-asset Execution Management System and in-house algorithmic execution capability.
The work will be varied across the Execution Technology space and may involve working on our next-gen EMS, order routing systems, execution algos, connectivity to venues and brokers, market data feeds, bespoke multi-dealer execution systems for OTC assets.
Java Engineers must have: /Ph D in Mathematics/ Physics or engineering with strong mathematical background Financial Services experience in an IB, Vendor, fintech or Fund Expert Java Developer SQLIdeally FIXAll work is highly collaborative, you’ll be working as part of the team and directly with the Trading Desk and Research team to design and deliver software solutions to improve the firm’s execution capabilities as we expand into new markets, strategies, asset classes and regions.
My client is based in London Quant Developer, Quant C#, C++ SQL, Support, Implementation
Java Data Engineer – Hedge Fund 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 Java Data Engineer – Hedge Fund in London
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Java Data Engineer – Hedge Fund 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.
