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- Tasks: Join a dynamic team to manage data ingestion, storage, and transformation for a leading hedge fund.
- Company: Be part of a top-tier Quantitative Hedge Fund known for its innovative approach and supportive culture.
- Benefits: Enjoy a hybrid work schedule and a friendly, low-turnover environment that values collaboration.
- Why this job: This role offers the chance to enhance data strategies and work with cutting-edge technologies.
- Qualifications: 5+ years as a KDB developer, proficient in Python and SQL, with experience in data pipelines.
- Other info: Opportunity to influence end-to-end delivery and work with major financial market data vendors.
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 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 work 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
Make sure to showcase your experience with KDB+ and Python in your conversations. Highlight specific projects where you implemented data pipelines or worked with financial market data vendors, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the technologies mentioned in the job description, such as Snowflake and SQL. Being able to discuss how you've used these tools in past roles will demonstrate your readiness for the position.
✨Tip Number 3
Prepare to discuss your approach to code quality and data integrity. The firm values these aspects highly, so be ready to share examples of how you've ensured robust systems in your previous work.
✨Tip Number 4
Since communication is key in this role, practice explaining complex technical concepts in simple terms. This will help you connect with both technical and non-technical colleagues during the interview process.
We think you need these skills to ace Senior KDB+ Developer - Quant Hedge Fund
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 5+ years of experience as a KDB developer. Detail specific projects where you implemented data pipelines and worked with financial market data vendors.
Showcase Technical Skills: Clearly list your proficiency in KDB+, Python, SQL, and any other relevant technologies like Docker or Jenkins. Provide examples of how you've used these tools in past roles.
Communicate Your Passion: Express your enthusiasm for code quality and data integrity. Mention any personal projects or contributions to open-source that demonstrate your commitment to building scalable systems.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements mentioned in the job description. Use keywords from the listing to ensure your application stands out.
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 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 friendly and supportive culture. During the interview, express your enthusiasm for working in a collaborative environment and share examples of how you've contributed to team success in previous roles.
✨Communicate Clearly
Since the role requires interaction with both technical and non-technical colleagues, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between different teams and enhance collaboration.
✨Demonstrate Passion for Quality
Discuss your commitment to code quality, data integrity, and building scalable systems. Share specific instances where you prioritized these aspects in your work, as this aligns with the firm's values and expectations.
