Careers at Schonfeld

The Role The Global Operations Technology team at Schonfeld is tasked with creating a platform that serves as the golden data source for post trade operational data – transaction capture, near real-time positions, start-of-day position, end-of-day position, trades, executions and P&L. The team is responsible for Drop copy and FIX integrations for post trade across our multi-manager multi-strategy platform. Building and managing positions across a wide array of asset classes including listed and OTC products. Building and maintaining all systems related to the fund’s intraday and end of day trade reporting facilities across all investments to our Prime Brokers, Fund Primary and Shadow books of record systems. What you’ll do Senior Software Engineers at Schonfeld take on a wide range of responsibilities and challenges. They design, develop, deploy and support existing applications as well as new features and platforms. They run projects and lead initiatives. You will participate in an Agile framework, continuously improving and expanding platform capabilities based on rapidly changing business requirements as well as providing Level 3 support across the globe. You will contribute to a highly supportable, future-ready, performant code base. You will work with a modern tech stack – building microservices that deploy to the cloud (AWS) using containers (Docker) orchestrated by Kubernetes with Helm. The ideal candidate will have a proven ability to solve problems and an interest in continuous improvement and learning. What you’ll bring What you need: At minimum, seven years of experience in financial services, working on applications supporting the trade lifecycle At minimum, seven years of Java development Expertise with design and architecture (microservices experience preferred) Experience leading strategic technical initiatives from start to finish Experience with relational databases (PostgreSQL preferred) Experience with building and consuming from REST APIs Experience with messaging systems (Kafka preferred) Excellent communication skills, both written and verbal Experience mentoring junior developers Strong ownership experience and a track record of delivering results We’d love if you had: Experience supporting listed and OTC instruments typical in a Global Macro strategy (Fixed Income, Credit, Rates, Equities, Futures) Experience developing and supporting stateful applications build on Apache Flink Experience and knowledge of: Cloud services such as AWS Containerization and orchestration tools such as Docker and Kubernetes with Helm. DevOps methodologies such as CI/CD and build automation Who we are Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance. We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics. We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 7 countries and 19 offices. Our Culture Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork-oriented, collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact. We foster a sense of belonging among all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. Our employees value diversity across identity, thought, people and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming and supportive. The annual base pay for this role is expected to be between $180,000 and $250,000 which will be prorated based on start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education. #LI-TJ1 Our Culture The firm’s ethos is embedded in our people. ‘Talent is our strategy’ is our mantra and drives how we approach all initiatives at the firm. We believe our success is because of our people, so putting our talent above all else is our top priority. Schonfeld strives to create an environment where our people can thrive. We foster a teamwork-oriented, collaborative environment where ideas at any level are encouraged and shared. The development and advancement of our talent is honed through interactions with each other, learning & educational offerings, and through opportunities to make impactful contributions. At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. On a daily basis, our employees welcome diversity across identity, thought, people and views which serves as the foundation of our culture and success. You can learn more about our DEI initiatives here - Belonging @ Schonfeld. Who we are Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses. Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products . The base pay for this role is expected to be between $90,000 and $150,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

The Role Schonfeld is seeking an exceptional Senior Software Engineer to join our Treasury Technology team. This team is dedicated to delivering top-tier systems that manage the firm’s securities lending and financing, repo trading, FX hedging, and collateral management. You will collaborate closely with our global Treasury Technology, Treasury Desk, and Portfolio Management teams. Your responsibilities will include designing and building business-critical applications in an agile environment, as well as providing level 3 support. What you’ll do Design and Develop Treasury Applications: Design, develop, and support applications for securities lending, fixed-income portfolio financing, repo trading, financing cost, FX hedging, and collateral management. Collaborate with Business Users: Work closely with Treasury and Portfolio Managers on a day-to-day basis to design and develop applications that solve business challenges and address market changes. Enhance Tech Stack: Work with and improve our modern tech stack, building microservices deployed to the cloud (AWS) using Docker and Kubernetes. Contribute to Firmwide Frameworks: Ensure the code base is highly supportable, future-ready, and performant without latency. Build reusable components and contribute to firmwide libraries. Engage in Agile Processes: Participate in an Agile framework, continuously improving and expanding platform capabilities to meet dynamic business requirements and provide Level 3 support globally. Mentor Junior team members: Mentor junior team members in both technology and career development. What you’ll bring What you need: At least 3 years of Java development experience. Strong skills in design and architecture, with a preference for microservice experience. Proven experience leading strategic technical initiatives from inception to completion. Experience with relational databases. Familiarity with messaging systems, with a preference for Kafka. Strong written and verbal communication abilities. Ability to work closely with business users and communicate across different regions and time zones. Demonstrated strong ownership and a track record of delivering results. We’d love if you had: A background in financial services with knowledge in one or more of the following areas: equity portfolio financing, fixed incoming trading and settlement, or collateral and margin management. Experience with front-end development technologies, such as React and TypeScript. Knowledge of cloud services, particularly AWS. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with DevOps methodologies, including CI/CD and build automation. Who we are Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses. Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products . Our Culture The firm’s ethos is embedded in our people. ‘Talent is our strategy’ is our mantra and drives how we approach all initiatives at the firm. We believe our success is because of our people, so putting our talent above all else is our top priority. Schonfeld strives to create an environment where our people can thrive. We foster a teamwork-oriented, collaborative environment where ideas at any level are encouraged and shared. The development and advancement of our talent is honed through interactions with each other, learning & educational offerings, and through opportunities to make impactful contributions. At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. On a daily basis, our employees welcome diversity across identity, thought, people and views which serves as the foundation of our culture and success. You can learn more about our DEI initiatives here - Belonging @ Schonfeld. #LI-TJ1 __PRESENT

The Role We are seeking a highly qualified embedded Software Engineer to join our Business Analytics team. The Business Analytics team at Schonfeld focuses on analytics, reporting and automation. As a Software Engineer you will work on building key infrastructure to help compute performance related fees for our PMs and other related projects. What you’ll do Take full ownership of an existing Python codebase, quickly become the subject-matter expert and plan the next-generation architecture. Develop a deep understanding of the firm's complex business structures and translate that knowledge into clean, reliable code. Build tools and automation that enable Accounting teams to execute updates efficiently with minimal manual intervention. Design and implement a scalable reporting infrastructure to streamline the preparation and delivery of compensation reports. Work closely with business stakeholders to understand the nuances of individual deal structures and accurately implement their calculation logic in code. What you’ll bring What you need: Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related quantitative field. 2-5 years of relevant work experience. Strong programming skills in Python and SQL. Interest or experience in capital markets or finance. Strong analytical thinking, attention to detail, and clear communication skills. Experience with Linux operating systems, Git, and cloud computing platforms. We’d love if you had: Familiarity with a multi manager hedge fund business and PM deal structures Experience working with accounting and finance teams Comfort with reading legal documents and thinking through how to translate into code Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls. The base pay for this role is expected to be between 150,000 and 180,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience. #LI-DK1

The Role We’re looking for a Senior UI Engineer to join our team and play a critical role in building and shaping the firm’s internal UI platform. This is a high-impact, hands-on engineering position where you’ll contribute not just as a front-end specialist, but also as a platform thinker – helping to evolve our UI infrastructure that powers 100+ business applications across the firm. You’ll work in a dynamic, fast-paced environment where product requirements evolve, and business stakeholders are deeply engaged. Your engineering skills, UX sensibility, and product mindset will all be utilized as you craft industry-leading UI platform and ecosystems. What you’ll do You’ll be a key contributor to our UI platform and a technical partner to product owners building on top of it. You’ll help evolve our technical stack and development tools by contributing to architectural improvements, shared components, and implementation consistency across cross-functional teams. At the same time, you’ll work closely with product teams or business stakeholders, helping shape feature definitions, and building high-impact UI solutions directly into their applications. Your development responsibilities will span full-stack, including web front-end, backend integration, API design, performance optimization, and system observability. You’ll also be involved in the team’s code quality and best practices, mentor junior engineers, identify gaps in development lifecycles, and continuously improve both the core platform and how developers build with it. What you’ll bring What you need: 5+ years of professional experience in UI engineering, with at least 2 years in a role leading or designing front-end architectures Advanced React/TypeScript expertise — proven ability to architect large-scale, performant component systems, drive front-end technical standards, and mentor teams on modern React patterns (hooks, composition, performance optimization Strong background in UI/UX design collaboration — partnering directly with users and stakeholders to iterate on application design, translating business requirements into user stories and journeys, and shaping world-class screens that drive engagement and adoption Experience partnering closely with product management to translate vision and business requirements into shipped application UI — working across the product development lifecycle from concept and requirements to design iteration and delivery Comprehensive, hands-on experience using AI throughout the development lifecycle (e.g. Codex, Claude, Copilot) — required fluency in leveraging AI to decompose and solve engineering problems, build and operate agents and skills to scale delivery, and evolve SDLC practices around agentic workflows Strong familiarity with common enterprise JavaScript frameworks, such as Redux, Zustand, RxJS Hands-on experience with advanced data grid and charting tools integrated with real-time or high-volume datasets Proficiency in writing unit tests and E2E tests utilizing popular frameworks like RTL, Mocha, Jest, Cypress, Playwright Experience leading the technical lifecycle of complex UI applications, from architecture and technology selection through implementation, deployment, scalability, and production reliability. Experience identifying opportunities to incorporate AI capabilities into user feature or development workflows We’d love if you had: Experience in building internal tools for trading, analytics, or compliance in Finance or Fintech businesses Experience with AWS cloud services (EC2), Kubernetes-driven deployments, and modern CI/CD pipelines Experience designing and operating high-throughput, event-driven data pipelines on Apache Kafka or Apache Spark Experience implementing or maintaining design systems Familiarity with React-based micro-frontend architectures and patterns for building modular UI Proficiency in one or more backend languages such as Go, Python, Java, Rust A strong voice for engineering excellence: You advocate for best practices, challenge outdated patterns, and help elevate our standards through thoughtful critique in team discussions Excellent communication skills: Partner closely with business stakeholders to turn high-level concepts into technical plans, UX wireframes, or prototypes Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls. The base pay for this role is expected to be between $200,000 and $250,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

The Role We’re looking for a Site Reliability Engineer to join our AI Technology team and play a critical role in ensuring the stability and scalability of the firm’s internal Agentic AI platform. This is a high-impact, hands-on engineering position where you’ll contribute code, automation workflows, observability, metrics, and support users as issues arise. You’ll work in a dynamic, fast-paced environment where product requirements evolve, and business stakeholders are deeply engaged. What you’ll do You will set the reliability standards for Enterprise AI, defining Service Level Objectives (SLOs), error budgets, and custom incident response runbooks. You will own the observability, incident response, reliability, and scalability of our AI platform. Ensure that our agents, gateways, LLM proxies, and RAG pipelines operate with high availability, accuracy, and financial efficiency. Support users in a dedicated help channel when issues arise — investigating root causes, providing solutions, monitoring the status of upstream dependencies, and communicating updates back to users. You’ll also be involved in the team’s code quality and best practices, identify gaps in development lifecycles, and continuously improve both the core platform and how developers build with it. What you need: 5+ years of professional cloud automation or site reliability engineering experience, or similar Familiarity with software development best practices and experience creating applications in Python Experience working creating and integrating REST APIs, and event-driven and asynchronous architectures Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search) Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines A passion for AI, creative ideas for how it can be a tool for problem solving and productivity A thoughtful approach to problem-solving; ability to break down complex issues methodically Excellent communication skills; Able to translate technical concepts for non-technical stakeholders We’d love if you had: Experience developing agentic AI applications, harnesses, MCP servers, and workflows Familiarity with or experience building AI agents, Retrieval-Augmented Generation (RAG) pipelines, or agentic tools Experience with observability tooling such as DataDog Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls. The base pay for this role is expected to be between $175,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience. Our Culture The firm’s ethos is embedded in our people. ‘Talent is our strategy’ is our mantra and drives how we approach all initiatives at the firm. We believe our success is because of our people, so putting our talent above all else is our top priority. Schonfeld strives to create an environment where our people can thrive. We foster a teamwork-oriented, collaborative environment where ideas at any level are encouraged and shared. The development and advancement of our talent is honed through interactions with each other, learning & educational offerings, and through opportunities to make impactful contributions. At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. On a daily basis, our employees welcome diversity across identity, thought, people and views which serves as the foundation of our culture and success. You can learn more about our DEI initiatives here - Belonging @ Schonfeld. Who we are Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses. Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products . The base pay for this role is expected to be between $150,000 and $180,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

The Role We are looking for a Software Engineer to join the Fundamental Equity COO team, embedded directly within the business rather than in a central technology function. You will work alongside quant researchers and COO management to build backend services, data pipelines, and internal APIs that improve productivity, deepen AI adoption, and make better use of the data the business already has access to. AI integration is a core part of this role, not an afterthought. We are actively building out how LLMs, agentic workflows, and AI-powered tooling fit into the investment process, and this hire is expected to drive a meaningful part of that. You should come in with both hands-on experience and genuine conviction about where these technologies are heading. The role sits close to the investment process. We are looking for someone proactive and delivery-focused: someone who identifies what needs to be built, takes ownership, and gets it done without waiting to be directed. The expectation is high-quality output, pragmatic solutions that work in the hands of investment professionals and create immediate value. What you’ll do Write clean, well-structured, maintainable code and contribute to good engineering practices within the team, including CI/CD pipelines and version control, with an active contribution to firmwide best practices so that deliverables can be broadly leveraged across the business Build, deploy, and maintain internal APIs (FastAPI) and backend services that surface portfolio analytics, market data, and quantitative outputs to investment professionals, hosted within the team’s AWS environment Own and extend scheduled data pipelines and orchestration workflows (Prefect) running in containerized environments (Docker, Kubernetes), ensuring reliability and observability across the platform Contribute to the AI integration layer in close coordination with central Technology teams: strategically implementing and operating AI capabilities tailored to the specific needs of the Fundamental Equity business, spanning LLM APIs, MCP servers, and agentic workflows across a multi-model architecture, with the awareness that this is a rapidly evolving landscape requiring continuous reassessment of what best looks like Build and maintain a shared AI plugin and skills library that can be leveraged by all Fundamental Equity investment professionals, ensuring capabilities are well-documented, reusable, and model-agnostic Develop and own structured databases (PostgreSQL) underpinning research, portfolio, and operational workflows, with a view to making that data increasingly accessible and actionable through AI What you’ll bring What you need: 2–5 years of experience in a relevant role: quantitative development, dev strats, analytics engineering, or quantitative analysis at a bank, hedge fund, asset manager, or financial data provider Strong Python proficiency with an emphasis on well-structured, object-oriented codebases; solid SQL and database design skills, particularly PostgreSQL Experience building and deploying backend services and APIs (FastAPI or equivalent) in a production environment Hands-on experience with AI/LLM integration across multiple model providers: API usage, prompt engineering, tool use, and retrieval-augmented workflows. You have built things with these, not just read about them Practical familiarity with MCP servers, agentic frameworks, or multi-model orchestration architectures (custom implementations or equivalent) Experience with AI-assisted development tools (e.g. Claude Code, Cursor, or similar) as part of a day-to-day engineering workflow Comfortable working within AWS: EC2, containerized workloads, and infrastructure managed via Terraform or similar IaC tooling Experience with Docker, Kubernetes, and workflow orchestration frameworks (Prefect, Airflow, or equivalent) Sound software engineering fundamentals: version control, structured codebases, CI/CD pipelines, documentation, testing Actively engaged with the AI development landscape: you follow what is changing, test new tools and frameworks hands-on to form your own views, and translate those views into practical decisions about what to build and how Collaborative by nature: you share ideas openly, contribute to collective knowledge, and are comfortable working across technical and non-technical audiences, from quant researchers and central Tech teams to investment professionals. The team culture is open, engaged, and friendly, and we are looking for someone who genuinely thrives in that environment Product-minded: you think about who is using the tool and what problem it solves, not just whether the code runs Comfortable in a business-facing team where pace matters and requirements evolve. This is not a research lab environment Self-starter who takes ownership end-to-end, from scoping and delivery through to maintenance and iteration Intellectually curious about financial markets and the investment process We’d love if you had: Experience building dashboards or lightweight frontend interfaces (e.g. Streamlit, React) for internal users Exposure to alternative data ingestion or vendor API integrations Prior experience in a hedge fund or multi-manager platform Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls. The base pay for this role is expected to be between $150k and $175k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.