Data Scientist

Schonfeld • New York, NY

42d • $185,000 - $225,000

About The Position

We are seeking a talented individual to join the Data Science team. The data science team is responsible for creating high-impact analytical datasets, conducting deep-dive research to extract systematic features, and generating forecasts that power our investment strategies. What you’ll do As a Data Scientist, you will partner with market data specialists, data engineers, and sector data analysts to ingest, clean, and explore new data sources, building a comprehensive understanding of each dataset and its potential applications. You will collaborate closely with portfolio manager teams to derive insights from complex datasets and translate them into systematic features that feed the alpha‑generation process. Additionally, you will leverage your domain expertise to produce curated data products across multiple financial asset classes to standardize research, conduct quantitative analysis to generate ideas, and validate hypotheses through back‑testing. The ideal candidate is passionate about data science methodologies, thrives in a collaborative environment, and possesses a strong interest in financial markets.

Requirements

• 5+ years exp in data science, quantitative research, or related discipline
• 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
• Attention to detail and strong communication skills
• Master’s or PhD degree in a quantitative field such as data science, statistics and financial engineering

Nice To Haves

• 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
• Experience working with big data analysis
• Experience with any of the following technologies: Spark, Kafka, Docker, Airflow

Responsibilities

• partner with market data specialists, data engineers, and sector data analysts to ingest, clean, and explore new data sources
• building a comprehensive understanding of each dataset and its potential applications
• collaborate closely with portfolio manager teams to derive insights from complex datasets and translate them into systematic features that feed the alpha‑generation process
• leverage your domain expertise to produce curated data products across multiple financial asset classes to standardize research
• conduct quantitative analysis to generate ideas
• validate hypotheses through back‑testing

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees