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- Tasks: Join a dynamic team to manage and enhance data systems for a leading hedge fund.
- Company: Be part of a top-tier Quantitative Hedge Fund known for innovation and excellence.
- Benefits: Enjoy hybrid working, a supportive culture, and opportunities for professional growth.
- Why this job: Contribute to exciting projects that shape data processing and access in finance.
- Qualifications: 5+ years as a KDB developer with skills in Python, SQL, and data pipelines.
- Other info: Work in a friendly environment with low staff turnover and strong team collaboration.
The predicted salary is between 60000 - 84000 £ per year.
KDB+ Data Engineer with around 5+ years of post-graduate experience sought to join a market-leading Quantitative Hedge Fund. You will join a 5-strong Data Engineering team covering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset, and MorningStar.
This is an exciting time for you to join the team as they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. They are a lean team owning end-to-end delivery from initial design through to operational support in production.
The firm works on a hybrid working schedule, with a minimum of three days per week in the office, and are renowned for their friendly, supportive and collegiate culture, with an enviably low staff turnover.
Requirements:
- 5+ years working as a KDB developer with proficiency in Python and SQL and familiarity with relational and time-series databases.
- Experience implementing data pipelines, ideally from major financial market data vendors.
- SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing, agile practices.
- Passionate about code quality, data integrity, and building scalable and robust systems.
- Ability to communicate clearly with technical and non-technical colleagues.
This is an excellent opportunity for a KDB+ Developer / Data Engineer with around 5+ years of post-graduate experience sought to join a market-leading Quantitative Hedge Fund.
Senior KDB+ Developer - Quant Hedge Fund employer: Winston Fox
Contact Detail:
Winston Fox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior KDB+ Developer - Quant Hedge Fund
✨Tip Number 1
Network with professionals in the quantitative finance and data engineering sectors. Attend industry meetups, webinars, or conferences where you can connect with current employees at hedge funds or similar firms. This can give you insights into their work culture and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as KDB+, Python, and SQL. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges related to data pipelines and database management. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with problem-solving under pressure.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts clearly. During any networking conversations or interviews, practice explaining your past projects and experiences in a way that is accessible to both technical and non-technical audiences.
We think you need these skills to ace Senior KDB+ Developer - Quant Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience as a KDB developer. Emphasise your proficiency in Python and SQL, and include specific examples of data pipelines you've implemented from major financial market data vendors.
Craft a Compelling Cover Letter: In your cover letter, express your passion for code quality and data integrity. Mention your experience with SDLC and DevOps tools like Git, Docker, and Jenkins, and how these skills will benefit the team at the Quant Hedge Fund.
Showcase Relevant Projects: If you have worked on projects involving the ingestion, storage, transformation, or distribution of datasets, be sure to detail these in your application. Highlight any experience with cloud infrastructure and interfacing with market data vendors.
Prepare for Technical Questions: Anticipate technical questions related to KDB+, Python, and SQL during the interview process. Brush up on your knowledge of relational and time-series databases, and be ready to discuss your approach to building scalable and robust systems.
How to prepare for a job interview at Winston Fox
✨Showcase Your Technical Skills
Be prepared to discuss your experience with KDB+, Python, and SQL in detail. Highlight specific projects where you've implemented data pipelines or worked with financial market data vendors, as this will demonstrate your hands-on expertise.
✨Understand the Company Culture
Research the firm's culture and values before the interview. Since they pride themselves on a friendly and supportive environment, be ready to discuss how you can contribute to and thrive in such a setting.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. This is crucial as you'll need to communicate effectively with both technical and non-technical colleagues, so showcasing your ability to bridge that gap will be beneficial.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and approach to real-world scenarios. Think of examples from your past work where you faced challenges in data ingestion or processing, and be ready to explain how you overcame them.
