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Senior Software Engineer/Data Engineer Financial & Securities Litigation London

Posted 2 hours 21 minutes ago by Fideres

Permanent
Not Specified
Academic Jobs
London, United Kingdom
Job Description

About Us

At Fideres we champion fair markets for social justice and individual dignity. Through economic investigations and expert reports, we combat corporate misconduct, ensuring accountability and fostering equitable opportunities for all.

Our antitrust work has led to major antitrust legal actions against Big Tech (including Apple, Amazon and Facebook), Big Pharma, Big Finance and Big Agriculture. Meanwhile our original and innovative investigations into river sewage and Covid-19 have led to national press coverage.

About thisRole

Our Financial and Securities Litigation team are the consulting and testifying expert for plaintiffs in almost all landmark financial litigations. We are leaders in our field and we have supported our clients in recovering billions of dollars in settlements for plaintiffs.

This Senior Software Engineer role will apply solid hands-on technical knowledge, vision and an innovative mindset to help us build and maintain the data infrastructure and software libraries needed to support the quantitative research of our economists.

This role will manage two junior developers, and will partner closely with our quantitative economists. A background in, or prior exposure to, finance and/or economics would be highly desirable, along with prior experience in consulting or business analytics environment.

Key Responsibilities

Some notable responsibilities will include:

  • Maintain, improve and ensure the quality of Fideres's 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
  • Contributing to technical, client-facing projects, as an example by managing data storage/retrieval and writing performative algorithms to draw insights

Key Skills and Attributes

Key Attributes:

  • A keen interest or 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
  • Responsive to stakeholder needs. Has 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
  • Has integrity, initiative, and is not afraid to express an opinion and offer new solutions

Technology 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

Desirable:

  • Knowledge of JavaScipt/TypeScript
  • Exposure to complex financial data
  • Extraction of data from semi-structured sources such as PDFs
  • Knowledge of web-scraping frameworks
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