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- Tasks: Join our data team to build a cutting-edge data platform for big data processing.
- Company: We're a leading quant fund in Mayfair, London, focused on innovative data solutions.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the finance world while working with advanced data technologies.
- Qualifications: Experience in building distributed data systems and streaming datasets is essential.
- Other info: Opportunity to work on diverse projects, including low latency market data.
The predicted salary is between 48000 - 84000 £ per year.
Our new data team is looking to support the growth of systematic and quantitative strategies by building a best-in-class data platform. We are building new systems to support the ingestion, processing and distribution of big data sets alongside capabilities in the high-frequency tick data space.
We are looking for an experienced Data Engineer to help architect and build this new data platform. The system will support a diverse array of big datasets, including core symbology, fundamentals, alternative data and tick-derived data. We will also provide an underpinning data model and data access/serving.
Our ideal candidate will have experience building distributed data platforms for both batch and streaming data. This role will provide the opportunity to have a significant business change impact, and, if desired, to work across a broad range of data engineering disciplines, including low latency market data.
Candidate Specification
- Significant experience in architecting and building distributed data systems
- Experience with streaming datasets (likely meaning you're from a quant/HFT trading firm)
Ideally:
- Project/technical leadership roles
- Experience with non-equity asset classes
- Experience of more than one firm's stacks
- Experience with distributed compute (spark, dask, ray, etc.) and NoSQL datastores (Cassandra, etc.)
- Desire to work on a broad range of projects (including the tick data architecture if interested)
If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks george.hutchinson-binks@oxfordknight.co.uk (+44) 07885 545220 linkedin.com/in/george-hutchinson-binks-a62a69252
Data Engineer | Mayfair, London- Quant Fund employer: Quality Control Specialist - Pest Control
Contact Detail:
Quality Control Specialist - Pest Control Recruiting Team
george.hutchinson-binks@oxfordknight.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | Mayfair, London- Quant Fund
✨Tip Number 1
Make sure to showcase your experience with distributed data systems during any networking opportunities. Engage with professionals in the quant and HFT trading space, as they can provide valuable insights and connections that may lead to job referrals.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Spark, Dask, and NoSQL datastores like Cassandra. Being able to discuss these tools confidently in conversations will demonstrate your technical expertise and enthusiasm for the role.
✨Tip Number 3
Consider reaching out to current or former employees of the company through LinkedIn. Ask them about their experiences and any tips they might have for standing out in the application process. This can also help you gain insider knowledge about the company culture.
✨Tip Number 4
Stay updated on industry trends related to big data and quantitative strategies. Being knowledgeable about recent developments can give you an edge in discussions and interviews, showing that you're not only qualified but also genuinely interested in the field.
We think you need these skills to ace Data Engineer | Mayfair, London- Quant Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in architecting and building distributed data systems. Include specific examples of projects where you've worked with streaming datasets, especially if you have a background in quant or high-frequency trading.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your technical leadership experience and how it aligns with the company's goals in building a best-in-class data platform.
Showcase Relevant Skills: Clearly outline your experience with distributed compute technologies like Spark, Dask, or Ray, as well as NoSQL datastores such as Cassandra. Mention any experience with non-equity asset classes to strengthen your application.
Follow Up: After submitting your application, consider sending a polite follow-up email to express your continued interest in the position. This can help keep your application top of mind for the hiring team.
How to prepare for a job interview at Quality Control Specialist - Pest Control
✨Showcase Your Technical Skills
Be prepared to discuss your experience with distributed data systems and streaming datasets. Highlight specific projects where you've successfully implemented technologies like Spark or Cassandra, as this will demonstrate your hands-on expertise.
✨Understand the Business Impact
Since this role involves significant business change, be ready to explain how your work as a Data Engineer can drive value for the company. Think about examples where your contributions led to improved efficiency or better decision-making.
✨Demonstrate Leadership Experience
If you have held project or technical leadership roles, share those experiences during the interview. Discuss how you managed teams or projects, and how you navigated challenges, as this will show your capability to lead in a fast-paced environment.
✨Express Your Interest in Diverse Projects
The job description mentions a desire to work on a broad range of projects, including tick data architecture. Make sure to express your enthusiasm for tackling various challenges and learning new technologies, as this aligns with the company's goals.
