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Intern - Research Engineer

SummitTX Capital

Salary not specified
Oct 30, 2025
New York, NY, US
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SummitTX Capital is seeking to build and scale its systematic data platform to power alpha research and production signals, requiring end-to-end development from idea generation to monitoring.

Requirements

  • Strong Python and SQL fundamentals; comfort with Git and testing frameworks
  • Coursework or internship experience in data modeling, ETL/ELT, artificial intelligence/machine learning/statistics, or time-series analysis
  • Hands-on experience with Python, SQL, DBT, Spark, and modern data-quality toolkits
  • Exposure to ML frameworks (pandas, scikit-learn, PyTorch, MLflow) and feature pipelines
  • Familiarity with Databricks (Lakehouse, Unity Catalog) and AWS data services (S3, Glue/Athena, Lake Formation)
  • Experience with visualization and BI tools (e.g., Plotly, Tableau/Power BI), and Financial Data Platform (e.g. Bloomberg Terminal)
  • Experience in GenAI/LLM applications (prompt engineering, agentic workflow, RAG)

Responsibilities

  • Design, build, and maintain systematic data pipelines, including ingestion, medallion-style data modeling, feature engineering, and experiment tracking
  • Operationalize robust ELT workflows using DBT/SQL and Python on Databricks, with strong enforcement of data quality, lineage, and documentation
  • Develop research-grade datasets and features across market, alternative, and fundamental domains to support L/S Equity and systematic strategies
  • Productionize models and alpha signals with CI/CD pipelines, model registries, monitoring, and cost/performance optimization on Databricks and AWS
  • Partner with PMs and Analysts to translate investment hypotheses into testable research artifacts, delivering clear results, visualizations, and readouts to guide decision-making
  • Contribute to the evolution of the data platform roadmap, including observability, governance, access controls, cataloging, and documentation standards

Other

  • BS or pursuing an MS in Data Science, Data Engineering, Statistics, Business Analytics, Applied Math, or related field with strong academic performance
  • Clear communication skills and ability to partner with investment, risk, and operations stakeholders