Risk Platform Data Engineer - Algo Capital Group : Job Details

Risk Platform Data Engineer

Algo Capital Group

Job Location : New York,NY, USA

Posted on : 2025-01-01T18:08:29Z

Job Description :

Senior Risk Data Engineer

New York, NY

About our client:

Our client is a leading $60bn dollar hedge fund that utilizes machine learning and cutting edge technologies. They are expanding their risk data team and looking for engineers that can leverage propriety data systems and processes using the technology that has landed them at the core of their global market place.

About the position:

You will be part of a team that focuses on developing real-time applications for a successful trading desk based in New York. You will be using advanced technology, driving sophisticated trading strategies through precision-engineered software solutions that process market data and enable split-second decision-making in one of the most dynamic financial environments.

Core Focus Areas:

  • You will work on designing, implementing and developing applications as well as building pipelines using real time data.
  • Working hand in hand with the risk team to build and improve existing systems while implementing engineering best practices.
  • Utilize your knowledge and experience to improve risk systems for real time processes to meet business needs.
  • Collaborate with different production and delivery teams while building strong relationships with traders, quant teams and stakeholders.
  • Ensure scalability and reliability of risk systems while monitoring and logging them on a daily basis.

Qualifications:

  • Years of experience in Python (Solid experience with SQL)
  • Expertise in distributed system messaging technologies such as Kafka, Kenesis or similar.
  • Hands-on data engineering experience building ETL data pipelines, databases, and Lakehouse systems.
  • Experience with cloud, container and micro service infrastructures (e.g. Kubernetes, Docker, Helm)
  • Working with stream processing (Event driven Real Time SQL framework, Kafka streams) data modeling and data warehousing.
  • Experience with workflow orchestration and scheduling platforms.
  • Strong technical leadership with the ability to guide and collaborate with various team members.

A unique opportunity to join a world-renowned financial technology leader with an industry-leading compensation package, unparalleled professional development, and the chance to work alongside some of the most innovative minds in quantitative trading.

Apply directly or email: [email protected]

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