The Role 

We are excited to offer an internship opportunity for a talented student to join the data science team at Schonfeld. The data science team is responsible for creating Schonfeld's proprietary curated and feature datasets, conducting data analytics and research, and ultimately add value to various investment strategies. 

What You’ll Do   

As a data scientist, you will work closely with the engineering teams to optimize data ingestion pipelines, ensuring high-quality data input. You will also collaborate with portfolio manager teams to extract insights from data and systematically generate features or signals that feed into the alpha generation process. Additionally, you will develop domain expertise across various financial asset classes and datasets, produce curated datasets to standardize research, conduct quantitative analysis to generate ideas and validate hypothesis through backtesting. The ideal candidate will possess both a passion for data science disciplines and a strong interest in financial markets. 

What You’ll Bring 

What you need:  

• Knowledge of Python, SQL, or other programming languages
• Proficiency with statistical and machine learning packages for quantitative analysis
• Experience researching and analyzing financial datasets
• Attention to detail and strong communication skills
• Degree in quantitative field such as computer science, data science or financial engineering 

We’d love if you had:  

• Strong passion for financial markets and related datasets
• Knowledge of deep learning models
• Familiarity with AI tools to accelerate work, with a focus on adding analysis and insight
• Experience with any of the following technologies: Spark, Kafka, Docker, Airflow
• Knowledge of financial asset classes such as equity, futures, and fixed Income

Our Internship 

Kick-start your career in finance with the Schonfeld Summer Internship! Over the course of 10 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.  

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 annual base pay for this role is expected to be between $100,000 and $110,000 which will be prorated based on internship start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education.