Role Overview
As a Senior Research Engineer (Data) at Citadel Securities, you will be at the forefront of data curation and assimilation, working with both structured and unstructured data across various sources. Your role will involve translating high-level conceptual queries into efficient back-end queries on large-scale data collections, supported by state-of-the-art cloud-based services. This position is crucial for enriching alpha signals for our multi-billion-dollar Systematic Business and research function, providing a competitive edge in the financial markets.
Responsibilities
- Act as the data owner for several datasets, each with its unique schema and delivery frequency.
- Partner with researchers to produce high-value datasets.
- Design, create, automate, and maintain custom data pipelines:
- Extract raw data.
- Clean and normalize data.
- Translate high-level market research concepts into scalable processes.
- Handle all edge cases.
- Develop high-performance schemas and queries.
- Set up data checks and alerts to ensure data quality.
- Load processed datasets into formats easily digested by quantitative researchers and models.
- Develop tooling to facilitate the development and monitoring of custom data pipelines.
- Set up analytical infrastructure to facilitate exploration and visualization of datasets.
- Engage in large-scale cloud development of applications as a service.
Qualifications
Required:
- Demonstrated experience in driving meaningful business outcomes through data engineering.
- Prior ownership of a data project or a significant part of it.
- Strong attention to detail and analytical abilities.
- Ability to quickly learn new technologies and skills.
- Experience with ETL development.
Preferred:
- Experience with data manipulation and query design and optimization.
- Experience in time series forecasting and machine learning techniques.
- Strong data science skills.
- Proficiency in Python, SQL, Cloud, schedulers, containers, CI/CD, and software packaging.
- Strong communication skills with stakeholders such as data vendors and quantitative researchers.
- Familiarity with Data Build Tool (DBT).
Education
- BS degree in Computer Science, Mathematics, or a related field.
Join our team of talented Data Research Engineers and work hand-in-hand with Quantitative Researchers to design insightful queries and evaluate promising datasets from around the world. If you are passionate about driving business impact through data, we want to hear from you!
Benefits Extracted with AI
- Competitive salary
- Opportunities for professional growth
- Collaborative work environment
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