Jobs at Schonfeld

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.

The role involves monitoring quantitative trading activities, enhancing operational tools, coordinating incident responses, and collaborating with teams to improve trading processes.

Design, build, and support treasury applications for securities lending, repo trading, FX hedging, and collateral management. Collaborate with Treasury, Portfolio Managers, and global teams to deliver microservices on AWS with Docker/Kubernetes, provide level 3 support, improve firmwide frameworks, and mentor junior engineers within an Agile environment.

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.

Support daily U.S. and early APAC trading operations: monitor workflows, coordinate with prime brokers and counterparties to resolve missing files, trade rejects and order mismatches, perform OMS and position reconciliations, investigate breaks, collaborate with trading and technology teams, and assist with process improvements while learning hedge fund operations.

Operations intern within Operational Risk supporting data extraction pipelines, analytics, and building a KRI framework and oversight tool. Work across operations teams to ensure data integrity, refine metrics and thresholds, and provide centralized risk and performance visibility.

Coordinate recruitment activities for global offices: schedule interviews across time zones, manage ATS records, arrange candidate travel, liaise with hiring managers and agencies, compile recruitment reports, improve processes, and support diversity initiatives.

As a Quantitative Strategist, you will model volatility surfaces, support trading teams, analyze risk, and develop parameter models for financial products.

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.

Designs and maintains the enterprise AI knowledge library and role-based AI curriculum. Creates content, manages LMS/CMS, runs training events, tracks KPIs, and produces analytics dashboards. Partners with AI Technology and business units to drive adoption, run communications, support AI champions, and continuously improve training based on user feedback and metrics.

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.

Support PMs and traders by building pricing tools, risk analytics, and a centralized valuation model library for equity and rates derivatives. Tasks include equity product modelling, rates curve calibration (including NDF), dividend/funding parameter modelling, agentic coding workflows, back-testing, and risk engine/platform development.

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.

Provide legal support for portfolio manager onboarding/offboarding, draft and negotiate investment management and employment agreements, manage fund formation and capital development (side letters, placement agent agreements, product launches), assist on strategic/private equity/loan and regulatory matters, collaborate with internal stakeholders and outside counsel, and respond to investor queries.

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.

The role involves designing risk models, managing risk analytics lifecycle, and creating tools for position sizing and hedging in a financial context. Collaboration with various teams is crucial.