Jobs at Schonfeld

Leads strategic, cross-functional initiatives across investment, operating, and management platforms. Develops project roadmaps, milestones, requirements, and impact assessments; coordinates business stakeholders, technology partners, subject-matter experts, and senior leaders. Drives planning, execution, transparency, and organizational alignment while addressing complex business challenges. Requires financial services experience, strong project management and communication skills, data literacy, and familiarity with financial markets and trade lifecycles.

Manage workplace experience and office operations across multiple Americas offices. Lead a team of five, oversee front-desk services, onboarding, events, space planning, relocations, vendors, contracts, budgets, inventory, and employee experience initiatives. Coordinate with HR, Facilities, IT, senior stakeholders, building management, and global teams. Standardize processes, train staff, monitor service quality, manage performance, and drive continuous improvements while supporting a fast-paced corporate environment.

Build and productionize AI-powered solutions embedded with investment, corporate, and engineering teams. Responsibilities include designing agentic workflows, developing agents and prompts, gathering requirements, owning delivery through production, conducting user acceptance testing, iterating from stakeholder feedback, and contributing reusable patterns to AI platform teams. The role requires Python engineering, cloud and Kubernetes experience, comfort with messy financial data, product judgment, and strong communication with nontechnical users.

Build and operate a reliable, scalable internal Agentic AI platform. Define SLOs, error budgets, observability standards, incident response runbooks, and reliability practices. Develop automation and Python applications, integrate APIs and asynchronous systems, manage cloud and Kubernetes deployments, and support users during incidents. Work with databases, CI/CD pipelines, AI agents, and RAG workflows while improving code quality, developer processes, platform performance, availability, accuracy, and cost efficiency.

Support and evolve cloud platforms across the firm by assisting with AWS infrastructure changes, Terraform or Crossplane claims, internal Python and Bash automation, Kubernetes/EKS operations, GitOps deployments with Argo CD, and infrastructure troubleshooting involving networking, DNS, connectivity, and service health.

Develop and maintain enterprise risk models for FX and rates trading strategies, ensuring risks are accurately captured. Analyze portfolio risk drivers, create solutions when external tools are insufficient, and communicate insights to senior management. Collaborate with Technology, vendors, COO teams, quantitative strategists, and risk coverage teams to support risk mitigation, capital allocation, and prevention of outsized drawdowns.

Provides legal support across portfolio management and capital development, including drafting and negotiating investment management, employment, fund, side letter, placement agent, loan, and transaction documents. Handles portfolio manager onboarding and offboarding, fund formation, investor communications, strategic transactions, and regulatory matters while partnering with senior executives, internal stakeholders, outside counsel, and advisers.

Build and automate data tools, analytics libraries, dashboards, reports, and workflows for a systematic trading firm’s COO team. Integrate PostgreSQL, REST APIs, and Kafka data sources; develop AI-assisted natural-language data tools; automate recurring operational processes; perform ad-hoc analyses; and collaborate with technology, risk, operations, and execution teams to validate data quality and improve platform efficiency.

Cybersecurity Operations Intern supporting incident response, threat monitoring, threat hunting, threat intelligence, vulnerability management, security posture assessments, threat detection, and automation. The intern will help analyze alerts, identify attacks, prioritize remediation, improve detection rules and runbooks, and implement SOAR or scripting-based efficiencies. The ten-week program includes mentorship, team projects, and a presentation to leadership.

Design, develop, integrate, and support critical components for statistical arbitrage and low-latency electronic trading platforms. The role is 80% hands-on C++ engineering and 20% mentoring and coordination. Responsibilities include microsecond-latency optimization, architecture, technical leadership, Level 3 production support, and collaboration with business stakeholders. The engineer will lead small technical teams and apply DevOps, Agile, and Site Reliability Engineering practices in colocated execution environments.

Oversee risk for North American fundamental equity portfolios, monitor style drift and concentration risks, analyze performance attribution, advise portfolio managers on risk and portfolio construction, recommend capital allocations, develop forward-looking risk views, and help enhance proprietary analytics and investor education.

Manage full lifecycle recruiting for front-office roles (Quants, Strats, Risk, Technology). Partner with business stakeholders and search firms, source and engage candidates, run processes end-to-end, and ensure a best-in-class candidate experience while supporting broader hiring needs.

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

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

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.

Lead Data Engineer at Schonfeld focuses on developing and advancing talent while leveraging proprietary technology for investment strategies, fostering a collaborative work environment.