Jobs at Schonfeld

The Risk Manager will oversee risk assessments, develop strategies, monitor risks, and collaborate with teams on managing credit product risks.

Lead end-to-end implementation of AI tools for Macro & Fixed Income PMs: build prompts, datasets, vector stores, and pipelines; deliver training and playbooks; drive adoption and measure ROI; liaise with central AI/Tech and Compliance to ensure governance and production-grade deployments.

The Communications Associate will support global communications strategies, manage messaging, assist with events, and collaborate across teams to enhance engagement.

The Software Engineer will enhance the Business Analytics team's infrastructure through Python coding, automation, and reporting while collaborating with business stakeholders.

Software Engineers will develop and support applications in an Agile setting, maintain integrations, and build microservices for financial services. They must have experience in Java microservices, cloud technologies, and financial applications.

Design, build, and operate highly available reference/master data systems for a hedge fund. Lead architecture, cloud microservices, LLM/agentic solutions, and cross-functional projects while mentoring engineers and improving reliability, security, and performance.

Manage market data sourcing, licensing, and entitlements across global vendors. Support portfolio managers and oversee data compliance and usage tracking.

You will design, implement, and improve AI-powered workflows while collaborating closely with product teams and stakeholders to enhance the firm's Agentic AI platform.

Senior Software Engineers will design, develop, and support applications for trade operational data, leading projects and providing Level 3 support globally.

The Full Stack Engineer will develop and enhance the firm's AI platform, focusing on UI and backend work using various technologies, and collaborate closely with product teams and stakeholders.

As a Software Engineer, you'll develop backend services and data pipelines, integrate AI solutions, and collaborate closely with investment professionals to enhance productivity and data utilization.

Build and evolve an internal UI platform used by 100+ applications. Work full-stack on front-end, backend integration, API design, performance and observability. Contribute shared components, architecture improvements, testing, mentor juniors, and collaborate with product teams and stakeholders to deliver scalable, data-intensive, high-usability UI solutions.

The Senior Counsel will draft and negotiate contracts, manage legal issues in investment management, partner with senior management, and oversee outside counsel while demonstrating superior legal and communication skills.

The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.

Serve as first point of contact for production incidents across a global quantitative trading platform. Triage, investigate, and resolve live issues, escalate as needed, collaborate with developers for deployments, build automation and tools (including AI integrations), and maintain monitoring and performance in a Linux-based environment.