Internship within the Schonfeld Technology division focused on improving functionality, performance, stability, efficiency, and scalability of reference data platforms covering Securities, Corporate Actions, Issuers, Financial Calendars, PM Teams, Brokers, and Broker Accounts.
Responsibilities
Design, develop, deploy and support existing applications and new features and platforms
Work alongside senior developers writing software to improve reference data platforms
Present summer-long projects at the completion of the program
Requirements
Student pursuing a degree in a technical or quantitative field
Nice to have: Previous financial industry experience
Internship in AI Transformation team building prototype agents and automations.
Compensation
The expected monthly salary for this position is $10,000. Our compensation package also includes a one-time housing stipend.
Responsibilities
Work with business and functional teams to find opportunities for workflow automation, AI-assisted decision-making, and tasks agents can take on.
Learn how internal processes work and turn them into clear problem statements and simple technical workflows.
Build prototype agents, automations and internal tools using LLMs, agent frameworks and MCPs, on top of Arcesium’s corporate data and enterprise tools.
Share early versions with real users, gather feedback, and iterate quickly.
Support the path from prototype to production with engineering and security teams.
Interns will work alongside senior developers writing software to improve the functionality, performance, stability, efficiency and scalability of the research and trading platform, focusing on advanced systems for securities lending, financing, repo trading, FX hedging, collateral management, and margin optimization.
Responsibilities
Design, develop, deploy and support existing applications and new features/platforms
Participate in an Agile framework
Work on high profile projects within the Technology division
Requirements
Student pursuing a degree in a technical or quantitative field
Nice to have: Financial industry experience
Nice to have: Advanced degree in a quantitative or technical field
Design, build, operate, and optimize highly distributed, large‑scale services for DynamoDB, including architecture, performance, and cost optimization.
Compensation
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Support the Business Insights Delivery team on a 12‑month fixed‑term contract, developing data assets, dashboards, and business intelligence solutions.
Responsibilities
Learn how to develop, automate, compile, and prepare reports, dashboards, cubes
Develop knowledge of Business Intelligence products and tools
Complete root cause analysis
Perform solution design functions
Participate in project planning and task execution
Requirements
Bachelor's degree in Data Science; Data Analytics or STEM (Science, Technology, Engineering, Mathematics) or a related field