Schonfeld

The Role
We’re looking for a Platform 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
<ul>
<li>You will set the reliability standards for Enterprise AI, defining Service Level Objectives (SLOs), error budgets, and custom incident response runbooks.</li>
<li>You will own the observability, incident response, reliability, and scalability of our AI platform.</li>
<li>Ensure that our agents, gateways, LLM proxies, and RAG pipelines operate with high availability, accuracy, and financial efficiency.</li>
<li>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.</li>
<li>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. </li>
</ul>
What you need:
<ul>
<li>5+ years of professional cloud automation or site reliability engineering experience, or similar</li>
<li>Familiarity with software development best practices and experience creating applications in Python</li>
<li>Experience working creating and integrating REST APIs, and event-driven and asynchronous architectures</li>
<li>Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search)</li>
<li>Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines</li>
<li>A passion for AI, creative ideas for how it can be a tool for problem solving and productivity</li>
<li>A thoughtful approach to problem-solving; ability to break down complex issues methodically</li>
<li>Excellent communication skills; Able to translate technical concepts for non-technical stakeholders</li>
</ul>
We’d love if you had:
<ul>
<li>Experience developing agentic AI applications, harnesses, MCP servers, and workflows</li>
<li>Familiarity with or experience building AI agents, Retrieval-Augmented Generation (RAG) pipelines, or agentic tools</li>
<li>Experience with observability tooling such as DataDog</li>
</ul>
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 &amp; 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.

AI Platform Engineer

The Role We are seeking exceptional candidates to join our Quantitative Research and strat teams in Hong Kong where they will work with other researchers and developers on various research projects, including the design of novel predictive signals, enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, product and asset modelling. Interns will have an opportunity to meaningfully contribute to all facets of a successful quantitative trading business; help it grow and diversify.      What You’ll Do As a Quantitative Researcher/strat Intern you will be directly responsible for furthering our platform build and/or alpha research. You will understand the economics of a fundamental domain, and the corresponding insights that can be gathered from associated alternative data offerings.  You will identify compelling differentiating factors, design novel predictive signals, backtest &amp; validate hypotheses.  You will have the opportunity to collaborate with senior team members to learn what it takes to be a successful quantitative strat + researcher.  What You’ll Bring
<ul>
<li>Current BSc, MSc PhD student in quantitative or technical field such as statistics, economics, mathematics, physics, electrical engineering, or computer science (ideally with one or two years left in your academic program)</li>
<li>Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R</li>
<li>Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP, and unstructured data analysis).</li>
<li>The ability to communicate research ideas clearly and succinctly</li>
<li>Creative problem-solving skills and experience working with real-world datasets</li>
<li>Strong attention to detail</li>
<li>Please submit your CV/resume in English</li>
</ul>
We’d Love if You Had
<ul>
<li>Previous financial industry experience although it is not required</li>
<li>An advanced degree in a quantitative or technical field</li>
</ul>
 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 &amp; 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.

2027 Emerging Markets and Delta One Quantitative Researcher/Strat Intern

The Role
We are seeking a hands-on Senior Data Platform Engineer to build and scale enterprise data services centered on SingleStore Helios and PostgreSQL. You will combine database architecture and production engineering with data pipeline development, data curation, platform migrations, self-service enablement and cost optimization. You will work with teams across regions to deliver reliable, well-governed data services.
<h4>What you'll do</h4>
<ul>
<li>Design, develop and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexing and workload performance.</li>
<li>Build and maintain reliable batch, streaming and CDC ingestion pipelines from relational databases, object storage and other enterprise sources into SingleStore; implement validation, transformation, enrichment and data curation.</li>
<li>Lead technical assessments and migrations of existing applications and data workloads to SingleStore, while onboarding new teams, applications and services.</li>
<li>Build reusable self-service onboarding capabilities, including APIs, configuration templates, automated provisioning, access requests, pipeline deployment and operational guardrails.</li>
<li>Optimize cloud database spend through workload right-sizing, consolidation, scheduling and performance tuning; develop transparent SingleStore cluster, application and team-level cost allocation and showback.</li>
<li>Own production readiness and database reliability: monitoring, incident triage, root-cause analysis, recoverability, deployment controls and collaboration with SingleStore Helios support.</li>
<li>Integrate data quality, lineage, ownership and access controls into delivery workflows; work with the enterprise data catalog and governance teams.</li>
<li>Create engineering standards, CI/CD pipelines, automated tests, documentation and cross-region handoffs that reduce manual operational work.</li>
</ul>
<h4>What you'll bring</h4>
What you need
<ul>
<li>7+ years of hands-on experience in data platform engineering, database engineering or closely related production data roles.</li>
<li>Advanced SQL and PostgreSQL expertise, including query plans, schema design, performance tuning and operational troubleshooting.</li>
<li>Strong Python and practical experience developing production-grade ingestion and transformation pipelines, with testing and observability.</li>
<li>Experience with distributed or cloud-managed databases and modern data integration patterns, including batch and CDC; familiarity with cloud object storage as an ingestion and staging layer.</li>
<li>Ability to own end-to-end technical delivery, collaborate with application teams and solve complex production issues independently.</li>
</ul>
We'd love if you had
<ul>
<li>Hands-on SingleStore (MemSQL) or SingleStore Helios experience, including pipelines, performance tuning and workload design.</li>
<li>Kafka or similar streaming platforms, infrastructure as code, CI/CD and API-driven platform automation.</li>
<li>Experience building self-service data platforms, data quality frameworks, metadata/catalog integrations and chargeback/showback reporting.</li>
<li>Experience with cloud FinOps, database migrations or financial-services enterprise data.</li>
</ul>
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 &amp; 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 $180,000 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.
#LI-TJ1

Senior Data Platform Engineer

The Role
We are seeking a hands-on Senior Data Platform Engineer to build and scale enterprise data services centered on SingleStore Helios and PostgreSQL. You will combine database architecture and production engineering with data pipeline development, data curation, platform migrations, self-service enablement and cost optimization. You will work with teams across regions to deliver reliable, well-governed data services.
<h4>What you'll do</h4>
<ul>
<li>Design, develop and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexing and workload performance.</li>
<li>Build and maintain reliable batch, streaming and CDC ingestion pipelines from relational databases, object storage and other enterprise sources into SingleStore; implement validation, transformation, enrichment and data curation.</li>
<li>Lead technical assessments and migrations of existing applications and data workloads to SingleStore, while onboarding new teams, applications and services.</li>
<li>Build reusable self-service onboarding capabilities, including APIs, configuration templates, automated provisioning, access requests, pipeline deployment and operational guardrails.</li>
<li>Optimize cloud database spend through workload right-sizing, consolidation, scheduling and performance tuning; develop transparent SingleStore cluster, application and team-level cost allocation and showback.</li>
<li>Own production readiness and database reliability: monitoring, incident triage, root-cause analysis, recoverability, deployment controls and collaboration with SingleStore Helios support.</li>
<li>Integrate data quality, lineage, ownership and access controls into delivery workflows; work with the enterprise data catalog and governance teams.</li>
<li>Create engineering standards, CI/CD pipelines, automated tests, documentation and cross-region handoffs that reduce manual operational work.</li>
</ul>
<h4>What you'll bring</h4>
What you need
<ul>
<li>7+ years of hands-on experience in data platform engineering, database engineering or closely related production data roles.</li>
<li>Advanced SQL and PostgreSQL expertise, including query plans, schema design, performance tuning and operational troubleshooting.</li>
<li>Strong Python and practical experience developing production-grade ingestion and transformation pipelines, with testing and observability.</li>
<li>Experience with distributed or cloud-managed databases and modern data integration patterns, including batch and CDC; familiarity with cloud object storage as an ingestion and staging layer.</li>
<li>Ability to own end-to-end technical delivery, collaborate with application teams and solve complex production issues independently.</li>
</ul>
We'd love if you had
<ul>
<li>Hands-on SingleStore (MemSQL) or SingleStore Helios experience, including pipelines, performance tuning and workload design.</li>
<li>Kafka or similar streaming platforms, infrastructure as code, CI/CD and API-driven platform automation.</li>
<li>Experience building self-service data platforms, data quality frameworks, metadata/catalog integrations and chargeback/showback reporting.</li>
<li>Experience with cloud FinOps, database migrations or financial-services enterprise data.</li>
</ul>
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 &amp; 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.
 
#LI-TJ1

The Role  
We are seeking a talented individual to join our DMFI (Discretionary Macro and Fixed Income) business in the New York office. You will join a small, high-impact team within DMFI Strategies focused on data-driven analysis across fixed income and macro markets. The team combines deep market intuition with rigorous quantitative methods to identify relative value opportunities in rates and broader fixed income. You will work directly alongside the Portfolio Manager and gain significant exposure to live trading, macro analysis, and the end-to-end investment process. 
 What you’ll do   
<ul>
<li>Build and maintain fixed income analytics, valuation tools, and relative value frameworks used in idea generation and portfolio monitoring. </li>
</ul>
<ul>
<li>Develop research pipelines and production-quality tooling for data ingestion, analytics, backtesting, and risk analysis. </li>
</ul>
<ul>
<li>Analyse relative value opportunities across rates and fixed income markets using quantitative and statistical techniques. </li>
</ul>
<ul>
<li>Work with the PM to formalise trading intuition into quantitative models and repeatable research processes. </li>
</ul>
<ul>
<li>Improve the robustness, scalability, and maintainability of the team's codebase and analytical stack. </li>
</ul>
 
What you’ll bring 
What you need: 
<ul>
<li>Currently pursuing a highly quantitative disciplined degree. </li>
</ul>
<ul>
<li>Strong Python programming skills with significant experience on data-driven projects (data manipulation, visualisation, statistical modelling). </li>
</ul>
<ul>
<li>Solid grounding in quantitative analysis techniques — you are comfortable with statistics, linear algebra, and numerical methods. </li>
</ul>
<ul>
<li>Genuine enthusiasm for financial markets, particularly fixed income and macro. </li>
</ul>
<ul>
<li>Excellent attention to detail, intellectual curiosity, and strong communication skills. </li>
</ul>
<ul>
<li>A software engineering mindset — you care about code quality, testing, and maintainability. </li>
</ul>
 
Our Internship 
Kick-start your career in finance with the Schonfeld Summer Internship! Over the course of 10 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.  
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 &amp; 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 annual base pay for this role is expected to be between $50,000 and $60,000 which will be prorated based on internship 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, experience, and level of education.

Schonfeld

Open jobs at Schonfeld

AI Platform Engineer

2027 Emerging Markets and Delta One Quantitative Researcher/Strat Intern

Senior Data Platform Engineer

Senior Data Platform Engineer

2027 DMFI Intern

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