Data Scientist

The Role 

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.

What you’ll bring

What you need:

• 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

We’d love if you had:

• 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

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $185k and $225k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.