Jobs at Schonfeld

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.

Supports a Financials Portfolio Manager within a market-neutral strategy by researching banks and consumer finance companies, building and maintaining financial models, conducting primary equity research, analyzing industry and macroeconomic trends, identifying KPIs and variant views, backtesting stock coverage, and generating long and short investment recommendations. The role also involves attending industry conferences and developing relationships with company management teams and sell-side analysts.

Perform T+1 reconciliations and resolve breaks across financial instruments, internal systems, prime brokers, and fund administrators. Collaborate with stakeholders to resolve operational issues, automate processes, implement strategic initiatives, standardize procedures, and improve workflows. The role also requires financial product expertise, advanced Excel and programming skills, large-data analysis, and experience with hedge fund operations and reconciliation migrations.

Oversee daily and monthly P&L reporting, reconciliations, valuations, pricing, and product setup for OTC derivatives, with emphasis on emerging markets and delta-one strategies. Partner with trading, fund accounting, portfolio management, operations, and fund administrators to ensure accurate T+1 and monthly reporting. Investigate valuation differences, explain results to stakeholders, and manage high-volume data in a fast-paced environment.

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.

Conduct quantitative risk research for discretionary macro and fixed-income portfolios, analyzing exposure to macroeconomic and geopolitical shocks. Develop advanced models using economic theory and quantitative techniques, then implement findings in Python-based tools for business-as-usual risk analysis. Collaborate with risk and portfolio management teams while building financial markets knowledge and technical skills.

Ten-week Core Operations internship supporting the hedge fund trade lifecycle from trade capture through settlement. Responsibilities include reconciling cash, positions, trades, and financial data; gathering data; supporting firmwide projects; and ensuring accurate processing across systems. The role requires strong analytical attention to detail, advanced Excel skills, organizational ability, and curiosity about financial systems. VBA and SQL knowledge would support project execution.

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.

Ten-week software engineering internship developing, deploying, and supporting applications, features, and platforms for research, trading, treasury, or compliance technology teams. Interns collaborate with senior developers in an Agile environment, complete a summer-long project, and present their work. Responsibilities emphasize improving platform functionality, performance, stability, scalability, and efficiency while solving business problems in financial technology.

Conduct data analytics and quantitative research for investment strategies. Optimize data ingestion pipelines, create curated datasets, generate features and signals, analyze financial asset classes, and validate investment hypotheses through backtesting. Collaborate with engineering and portfolio management teams while developing expertise in financial markets and machine learning applications.

Ten-week technology internship building high-performance software and market-data pipelines for a hedge fund’s DMFI division. Responsibilities include processing live market data, optimizing time-series datasets, managing data lifecycles, supporting real-time risk and P&L visibility, and deploying an analytics project to production. Candidates should have strong Python skills, database knowledge, and interest in capital markets.

Ten-week Business Analytics internship analyzing and interpreting data to support decision-making across risk, trading, accounting, operations, and business development. The intern will use Python, SQL, and Power BI to improve data quality, streamline processes, build reports, propose analytics, and support reporting infrastructure while collaborating with cross-functional teams.

Develop Operations-focused workflow tools, automation, metrics, dashboards, and business systems across financial asset classes. Translate business requirements into technical designs, build scalable frameworks, integrate solutions with existing infrastructure, and support operational efficiency and investment resource decisions. Partner with Operations, product, technology, and business teams while managing multiple initiatives from scoping through implementation.

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.

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.

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