Data Engineer

Posted 21 May 2024
Salary 250000
LocationNew York
Job type Permanent
Discipline Data & AI
Contact NameAndy Burgess

Job description

Data Engineer| Hedge Fund| New York 

Stott and May is partnering with a leading global financial institution known for its hedge fund and market-making operations. It manages substantial assets and is recognized for its data-driven, quantitative approach to investment and trading! 

If you want to elevate your career in data engineering with a pivotal role at a leading entity in quantitative research and investment strategies. This position is not merely a job; it's a chance to become an integral part of a team that values the power of data and its impact on the financial landscape.

The Role: 
  • Take ownership of the development and maintenance of the data sets.
  • Collaborate with a team of experts in quantitative research and software engineering.
  • Contribute to the continuous improvement of a sophisticated data platform.
  • Engage with cutting-edge technologies and innovative data solutions.
  • Work within an environment that encourages knowledge sharing and best practices.

Role Summary:
  • Master the intricacies of the company's data sets and their business applications.
  • Partner with quantitative analysts and engineers on data-driven projects.
  • Integrate and curate new data sets from various sources, ensuring their quality and reliability.
  • Devise and implement strategies to uphold the highest standards of data maintenance.
  • Enhance the data platform's capabilities to meet the dynamic needs of the business.
  • Advocate for the effective use of data and facilitate its adoption across the division.
  • Adapt to the business's changing requirements with agility and resourcefulness.

Skills & Experience:
  • A BS or MS in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
  • A minimum of 6 years' experience in a data-centric role, preferably within the finance sector.
  • Proficiency in Python, with experience in scheduling technologies like Airflow.
  • Strong command of SQL and NoSQL database systems.
  • A track record of developing and managing APIs.
  • Proven collaboration skills with quantitative researchers and software developers.
  • A natural interest in public markets investing, and various data types, including market, financial, and alternative data.

This role is designed for those who are not only adept at technical execution but also passionate about leveraging data to drive innovation in investment strategies. If you are ready to take on this challenge and make a significant impact, please submit your application.