Senior Data Engineer for Financial Research

1 month ago


London, Greater London, United Kingdom Fideres Full time

About Our Team

Fideres is a leading consulting and testifying expert for plaintiffs in landmark financial litigations. Our team of experts has supported clients in recovering billions of dollars in settlements.

We are seeking a Senior Software Engineer to join our team and help us build and maintain the data infrastructure and software libraries needed to support our quantitative research.

Key Responsibilities

  • Maintain and improve our existing software/database infrastructure packages and analytical data libraries
  • Work collaboratively with our economists to build and develop tools and systems to support our quantitative research
  • Develop our application programming interfaces for data integration
  • Support our quantitative investigations with data scraping scripts and data wrangling
  • Carry out design and code reviews for economists and junior developers
  • Coach quantitative economists and junior developers, collecting user feedback, and suggesting features/updates
  • Documenting functionality and writing guidelines for product maintenance

Requirements

  • A strong background in financial markets and/or economics, and a strong belief in fair and transparent markets
  • A strong record of academic achievement with a relevant degree (computer science, economics or finance)
  • Prior work experience in a consulting, business analytics or data engineering environment
  • Excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Self motivated to perform in a demanding business environment and to assume a wide range of responsibilities
  • Takes ownership/accountability, is focused on delivery and committed to seeing projects through to their close
  • Excellent written and verbal communication, including the ability to explain complex topics to non-specialists

Technical Skills

  • Excellent Python skills (the core of our stack)
  • Strong understanding of Relational Database Management (we use Postgres)
  • Comfort working with large data sets, 100+ terabytes
  • Knowledge of HTML & CSS
  • Experience designing complex performative APIs (we use Flask & Quart)
  • Experience with version control systems i.e. Git
  • Knowledge of container technologies such as Docker
  • Comfortable with cloud resources such as AWS or Azure

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