At a Glance
- Tasks: Manage and optimise SQL databases for a top-tier hedge fund.
- Company: Join a $50 billion hedge fund known for its innovative trading strategies.
- Benefits: Competitive salary, generous bonus, pension, and a relaxed work environment.
- Other info: Enjoy a calm atmosphere with opportunities for personal and professional growth.
- Why this job: Be part of a tech-driven team making impactful decisions in finance.
- Qualifications: Degree in Computer Science or related field; SQL expertise required.
The predicted salary is between 85000 - 85000 £ per year.
SQL DBA – Quant Hedge Fund85k Base 20k Bonus + Pension Quant Capital is urgently looking for a SQL DBA to join our high profile client.
Our client is a $50billion strong Hedge fund with performance figures of 23%.
They trade a number of products across equity and commodities in both high and low frequency strategies.
They have the reputation as one of the best funds globally.
They use a combination of proprietary data, superior technology, and aggressive execution to achieve their trading objectives.
The database administration team at consists of two members of staff who are responsible for all areas of the SQL Server and SAP ASE database infrastructure.
The database estate at consists of around 100 SQL Server instances, (all versions from 2005 to 2016) and 20+ SAP ASE 15.7 instances running on Oracle Linux.
The main responsibilities of the SQL DBA are: Specialization in SQL Server development and administration, with ability to cover SAP ASEStrategy for new databases globally, including hardware and storage design Capacity planning for new and existing systems Working closely with developers, advising on SQL code optimisations and database design New database installations, upgrades and migrations Configure and monitor database backup policies Release database changes to UAT and production environments Maintain appropriate database security policies Development of SQL-based automation systems SQL DBA’s / SQL Database Administrators MUST have: Bachelors, Masters or Ph D in Computer Science / Maths / Stats Exceptional technology skills; recognised by your peers as an expert in your domain Experience of Administration of a large SQL Server estate Familiarity with modern versions of Windows Server (up to 2012 R2)Development of automation systems for the SQL estate Fluency in T-SQLTroubleshooting and resolving database performance issues Understanding of underlying systems, including networks and SAN storage Automation of database maintenance tasks Experience with SQL Server disaster recovery and high availability technologies Database design Familiarity with ‘exotic’ SQL Server features such as Service Broker and SQLCLRSAP ASE 15 knowledge / experience Exposure to Linux, preferably RHEL 6This fund pays the best comp we have seen in the market.
My client is based in London 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.
This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
The client offers a bonus to all employees as a result of the fund’s performance from day 1.
SQL DBA – Quant 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.
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We think this is how you could land SQL DBA – Quant Hedge Fund in London
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We think you need these skills to ace SQL DBA – Quant 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!
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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.
