At a glanceSummarised by Seekless from the posting.
Must have9
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Finance, or a related quantitative field (with ≤ 1 year left in your program)
Proficient in Python (Pandas, FastAPI/Flask, OOP) and SQL (query optimization, data modelling)
AI/LLM tool development experience or strong interest
Rapid learning ability and comfort with ambiguity
Hands-on experience in dashboard development (Power BI, Grafana, HTML)
Knowledge of workflow orchestration tools (Prefect, Airflow, Dagster)
Genuine interest in understanding how systematic trading works
Strong analytical thinking, attention to detail, and the ability to communicate technical concepts to non-technical stakeholders
Comfort working autonomously in a fast-paced, global, highly collaborative environment
Nice to have1
Experience with agent skills, MCP servers, or RAG systems
Skills
Python
Pandas
FastAPI
Flask
SQL
PostgreSQL
REST APIs
Kafka
Power BI
Grafana
HTML
Prefect
Airflow
Dagster
The Role
We are looking for a highly motivated Data & Business Analyst Intern to join Schonfeld’s Systematic Strategies COO (SCOO) team.
The Systematic business contains many separate investment (PM) teams. Schonfeld oversees these teams’ trading and risk, and supports them with capital, technology, execution, operations, legal, recruiting and general business services (aka the Platform). The SCOO team is the key interface between PM teams and these services.
Working within the SCOO team, you will build, enhance, and automate the tools and analytics used by our Platform to make faster data-driven decisions at scale.
This internship blends data, technology, and markets: you will gain exposure to systematic trading workflows, enterprise data architecture, AI/LLM development, and cross-functional project management while solving real operational challenges.
What You’ll Do
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Investigate and integrate multiple enterprise data sources to build a unified analytics library for the SCOO team, handling diverse endpoints (PostgreSQL, REST APIs, Kafka streams)
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Design and deploy AI-assisted data tools using agent skills and Python libraries that enable non-technical stakeholders to query complex data through natural language
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Build production dashboards and automated reports (Power BI, Grafana, or HTML) that surface trading activity, vendor relationships, execution analytics, and operational KPIs
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Automate manual processes including quarterly updates, onboarding tracking, expense reconciliation, and other tasks that require recurring data pulls using orchestration frameworks such as Prefect and Airflow
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Collaborate across Technology, Risk, Operations, Reference Data, and Execution Services teams to understand data schemas, navigate access permissions, and validate data quality across systems
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Create scripts and schemas for ad-hoc analyses (e.g., “How has average FX ticket size changed over time?”).
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Document processes and proactively surface ideas to improve efficiency, data quality, and transparency across the Platform
What You’ll Bring
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Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Finance, or a related quantitative field (with ≤ 1 year left in your program).
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Proficient in Python (Pandas, FastAPI/Flask, OOP) and SQL (query optimization, data modelling) - able to deliver rapid ad-hoc analyses and scale them into production-ready tools within the broader tech stack
•
AI/LLM tool development experience or strong interest; experience with agent skills, MCP servers, or RAG systems is a plus
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Rapid learning ability and comfort with ambiguity - you’ll need to quickly understand unfamiliar systems by reading technical docs, talking to engineers, and experimenting
•
Hands-on experience in dashboard development (Power BI, Grafana, HTML) and knowledge of workflow orchestration tools (Prefect, Airflow, Dagster)
•
Genuine interest in understanding how systematic trading works - execution flows, broker relationships, business operations, and the data that supports decision-making
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Strong analytical thinking, attention to detail, and the ability to communicate technical concepts to non-technical stakeholders
•
Comfort working autonomously in a fast-paced, global, highly collaborative environment
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 $130,000 and $145,000 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.