Data Infrastructure Architect

6 days ago

London, Greater London, United Kingdom FIDERES Full time

About Fideres

We are a team of experts dedicated to championing fair markets for social justice and individual dignity. Our work involves economic investigations and expert reports to combat corporate misconduct, ensuring accountability and fostering equitable opportunities for all.

Our Competition team 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.

We have supported our clients in recovering billions of dollars in settlements for plaintiffs. Our Financial and Securities Litigation team has acted as plaintiffs' experts in the most consequential financial cartels and market manipulation cases of the past decade.

Around thisRole

To be the right fit for this opportunity, make sure to read the full description below.

The Senior Software Engineer 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 partner closely with our quantitative economists. A background in finance and/or economics would be highly desirable, along with prior experience in consulting or business analytics environments.

Main Responsibilities

Some key responsibilities 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
  • Document functionality and write guidelines for product maintenance
  • Contribute to technical, client-facing projects, such as managing data storage/retrieval and writing performative algorithms to draw insights

Key Attributes and Skills

Key attributes and skills include:

  • 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. 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 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

Technical Skills

Technical skills required include:

  • 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 Skills

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

We estimate the salary for this position to be around $120,000 - $180,000 per year, depending on experience and qualifications. We believe that fair compensation is essential for attracting and retaining top talent.

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