Senior Data Engineer - Quant Hedge Fund
Senior Data Engineer - Quant Hedge Fund

Senior Data Engineer - Quant Hedge Fund

London Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to manage and enhance data processes in a leading hedge fund.
  • Company: Be part of a top-tier Quantitative Hedge Fund known for its innovative approach.
  • Benefits: Enjoy a hybrid work schedule, supportive culture, and opportunities for professional growth.
  • Why this job: Contribute to exciting projects that shape data access and strategy in finance.
  • Qualifications: 5+ years as a Data Engineer, with expertise in Python, SQL, and financial market data.
  • Other info: Work in a friendly environment with low staff turnover and a focus on collaboration.

The predicted salary is between 54000 - 84000 £ per year.

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, 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, dbt, 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 their 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 Data Engineer with 2+ years in Financial Markets Engineering, especially in a Hedge Fund, Trading Firm, and/or working with Quant Trading Technology
  • Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred.
  • Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset…)
  • 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 incredible opportunity for a Data Engineer with 5+ years’ experience, to join a market-leading Quantitative Hedge Fund.

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Contact Detail:

Winston Fox Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - Quant Hedge Fund

✨Tip Number 1

Network with professionals in the hedge fund and quantitative trading space. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn more about the company culture at the firm you're interested in.

✨Tip Number 2

Familiarise yourself with the specific technologies mentioned in the job description, such as KDB+, Snowflake, and dbt. Consider working on personal projects or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.

✨Tip Number 3

Prepare to discuss your previous experiences in data engineering, particularly in financial markets. Be ready to share specific examples of how you've implemented data pipelines or improved data processing in past roles, as this will showcase your relevant expertise.

✨Tip Number 4

Practice articulating complex technical concepts in simple terms. Since the role requires clear communication with both technical and non-technical colleagues, being able to explain your work effectively will set you apart during interviews.

We think you need these skills to ace Senior Data Engineer - Quant Hedge Fund

Data Engineering
Python
SQL
Relational Databases
Time-Series Databases
Airflow
dbt
Snowflake
Databricks
Cloud Data Warehousing
Data Pipeline Implementation
Financial Market Data Vendors
SDLC
DevOps
Git
Docker
Jenkins
Agile Practices
Code Quality
Data Integrity
Scalable Systems
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, especially in financial markets and hedge funds. Emphasise your expertise in Python, SQL, and any relevant technologies like dbt or Snowflake.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the hedge fund environment. Mention specific projects or experiences that align with the job description.

Highlight Relevant Projects: In your application, include examples of data pipelines you've implemented, particularly those involving major financial market data vendors. This will demonstrate your hands-on experience and technical skills.

Showcase Communication Skills: Since the role requires clear communication with both technical and non-technical colleagues, provide examples in your application where you've successfully communicated complex ideas to diverse audiences.

How to prepare for a job interview at Winston Fox

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python, SQL, and any relevant tools like dbt or Snowflake. You might be asked to solve technical problems on the spot, so brush up on your coding skills and be ready to demonstrate your expertise.

✨Understand the Financial Markets

Since this role is within a hedge fund, having a solid understanding of financial markets and trading technology is crucial. Familiarise yourself with how data is used in trading strategies and be ready to discuss your previous experiences in this area.

✨Communicate Clearly

You’ll need to explain complex technical concepts to both technical and non-technical colleagues. Practice articulating your thoughts clearly and concisely, as effective communication is key in a collaborative environment.

✨Demonstrate Your Passion for Data Integrity

The firm values code quality and data integrity highly. Be prepared to discuss how you ensure these aspects in your work, including any best practices you follow and examples of challenges you've overcome in maintaining data quality.

Senior Data Engineer - Quant Hedge Fund
Winston Fox
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