Software/Data Engineer - Quant Hedge Fund - £250k+

Paragon Alpha
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
£250,000.0
Working hours
Regular working hours

Tech stack

Information Engineering Python (Programming Language) Software Engineering Data Ingestion Data Management

Job description

Software/Data Engineer - Quant Hedge Fund - £250k+

A $25BN AUM statarb/HFT equities focused hedge fund client is scaling their front office facing data team to support incoming portfolio manager/researcher hires.

This Data/Software Engineer will be working on data ingestion, data management, application development and the extension of their state of the art research data platform. As well as working on ad hoc projects for the front office to help them use data correctly and augment their investment process.

Key Responsibilities:

  1. Data ingestion and management
  2. Application development
  3. Extension of the research data platform
  4. Support front office with data-related projects

Qualifications:

  1. 1-5 years of experience
  2. Excellent STEM degree
  3. Strong competency in data engineering and software engineering
  4. Strong Python skills are a MUST

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Finance

Please apply for more information.

Requirements

  1. 1-5 years of experience
  2. Excellent STEM degree
  3. Strong competency in data engineering and software engineering
  4. Strong Python skills are a MUST

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:06 min

Ingesting streaming data securely with managed hubs

Eldert Grootenboer +1 · World Congress 2023

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Data management for stateful cloud-native workloads

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Understanding software engineering as more than just coding

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Balancing data science skillings alongside systems engineering rigor

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One-way data ingestion for IoT devices

Timothy Marland · World Congress 2023

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Leveraging large quantitative models for intermediate quantum advantage

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