Senior Data Engineer for Financial Research
1 month ago
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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