Schonfeld is looking to hire a Data Scientist to create high-impact analytical datasets, conduct deep-dive research to extract systematic features, and generate forecasts that power their investment strategies.
Requirements
- Advanced knowledge of Python, SQL, or other programming languages
- Proven experience in conducting quantitative analysis using statistical and machine learning packages
- Deep understanding of feature engineering, model training, evaluation, and deployment
- Knowledge of financial asset classes such as equity, futures, and fixed Income
- Experience conducting data analysis on complex financial datasets, such as alternative data and market micro-structure datasets
- Knowledge in programming languages such as C++ and Java
- Experience in designing, building and testing systematic signals
Responsibilities
- ingest, clean, and explore new data sources
- derive insights from complex datasets and translate them into systematic features that feed the alpha‑generation process
- produce curated data products across multiple financial asset classes to standardize research
- conduct quantitative analysis to generate ideas
- validate hypotheses through back‑testing
- conducting deep-dive research to extract systematic features
- generating forecasts that power our investment strategies
Other
- 5+ years exp in data science, quantitative research, or related discipline
- Attention to detail and strong communication skills
- Master’s or PhD degree in a quantitative field such as data science, statistics and financial engineering
- Experience working with big data analysis
- Experience with any of the following technologies: Spark, Kafka, Docker, Airflow
