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
Design, develop, test, deploy and operationalize highly scalable, reliable, and cost‑optimized solutions in public cloud environments as part of the Asgard Cloud cluster team.
Compensation
The minimum and maximum base salaries for this role are posted below; additionally, the role is eligible for bonus potential, equity and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location.
Responsibilities
Take full ownership of projects end to end
Collaborate with functional partners like product manager, designer for requirements
Diagnose and resolve customer problems, performance bottlenecks in complex customer environments
Build observability tools to proactively monitor and learn product usage and customer issues
Serve as the senior technical authority for the systems that power AlphaSense's revenue engine, setting the architectural direction for the go-to-market tech stack (Salesforce and connected applications), leading complex builds and integrations, and mentoring the team.
Responsibilities
Own the technical architecture and roadmap for Salesforce and the surrounding revenue tech stack, including Jira, Google Cloud, Heroku, Outreach, Marketo, and other internal business applications
Lead the design, development, and delivery of complex customizations and integrations (Apex, LWC, REST/SOAP APIs, SFDX), setting engineering standards, code review practices, and release processes
Partner with revenue leadership to gather and translate business requirements into scalable solutions, and to prioritize work against capacity and impact
Evaluate, refine, and rationalize the technology stack, workflows, and data flows to create cohesive solutions and reduce technical debt
Participate in vendor selection and evaluation, and recommend third-party solutions that enhance sales productivity and business processes
Lead a high‑performing backend engineering team, design and ship scalable digital products, and mentor engineers across Scout Motors.
Compensation
Initial base salary range = $180,000.00 - $220,000.00
Responsibilities
Lead and mentor a team of software engineers
Design, code, deploy and operate technical architecture and systems
Drive development of digital solutions for order management, customer management, marketing, production, inventory, loyalty, servicing, mobile app, vehicle connectivity
Collaborate with product, design and cross‑functional partners to define roadmaps and trade‑offs
Recommend and evaluate tools and technology decisions
Requirements
Bachelor's or master's degree in computer science or related field
As a Specialist Solutions Architect (SSA) on the Healthcare & Life Sciences team, you will help Payers and Providers put generative AI to work at the center of their business. In this customer-facing role, you will work with and support Solution Architects, helping customers design and implement essential workloads and shape their roadmap for expanding use of the Databricks Data Intelligence Platform.
Compensation
Zone 1 Pay Range
$180,000—$247,500 USD
Zone 2 Pay Range
$180,000—$247,500 USD
Zone 3 Pay Range
$180,000—$247,500 USD
Zone 4 Pay Range
$180,000—$247,500 USD
Responsibilities
Guide strategic Payer and Provider customers from AI prototype to production, architecting generative AI applications and agents with retrieval-augmented generation (RAG), fine-tuned or open foundation models, and the data platforms behind them
Build agents for Payer and Provider workflows such as medical coding, utilization review and member and patient service, including multi-agent systems, tool calling and Model Context Protocol (MCP) integrations
Apply generative AI to clinical notes, charts, call transcripts and documents for summarization, extraction and chart review
Ground AI in governed data through context engineering, semantic layers and natural-language analytics with Genie, so agents answer from trusted business definitions
Set up evaluation, tracing and monitoring for AI quality, cost and latency, including LLM judges, human feedback and guardrails, using MLflow
Requirements
Bachelor’s degree in Computer Science, Information Systems or Engineering
We are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level.
Responsibilities
Conduct quantitative research to support the team’s investment process.
Build technologies that bolster research & trading productivity.
Develop, maintain, and improve the production trading capacity.
Expand the system to new markets and asset classes.
Requirements
Master or PhD degree in math, physics, computer science, engineering, or other related discipline
Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed.
Responsibilities
Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities
Take full ownership of data products, guiding them from initial concept through to stable production
Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability
Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems
Provide on-call support as needed
Requirements
Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience
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