3 months ago
Base Salary
$150k - $175k/yr
Responsibilities
- Build, deploy, and maintain internal FastAPI APIs and backend services for portfolio analytics, market data, and quantitative outputs.
- Own scheduled data pipelines and orchestration workflows using Prefect in Docker and Kubernetes environments.
- Implement and operate AI capabilities involving LLM APIs, MCP servers, agentic workflows, and multi-model architectures.
- Build and maintain a reusable, documented, model-agnostic AI plugin and skills library for investment professionals.
- Develop and own PostgreSQL databases supporting research, portfolio, and operational workflows.
- Contribute to engineering practices including version control, CI/CD pipelines, testing, documentation, and firmwide best practices.
- Work directly with quant researchers, investment professionals, COO management, and central Technology teams to identify, scope, deliver, and maintain practical solutions.
Requirements
- 2–5 years of experience in quantitative development, development strategy, analytics engineering, quantitative analysis, or a relevant role at a financial institution or data provider.
- Strong Python proficiency, object-oriented software development skills, SQL knowledge, and PostgreSQL database design experience.
- Production experience building and deploying backend services and APIs with FastAPI or an equivalent framework.
- Hands-on experience integrating AI and LLM systems across multiple model providers, including API usage, prompt engineering, tool use, and retrieval-augmented workflows.
- Practical familiarity with MCP servers, agentic frameworks, or multi-model orchestration architectures.
- Experience using AI-assisted development tools such as Claude Code, Cursor, or similar tools.
- Experience with AWS, EC2, Docker, Kubernetes, Terraform or similar infrastructure-as-code tooling, and workflow orchestration frameworks such as Prefect or Airflow.
- Sound software engineering fundamentals including version control, CI/CD, structured codebases, documentation, and testing.
- Preferred experience building Streamlit or React interfaces, integrating alternative data or vendor APIs, or working at a hedge fund or multi-manager platform.
- Interest in financial markets and the investment process, along with the ability to work proactively and collaboratively across technical and non-technical teams.
Benefits
- The role offers learning and educational opportunities, internal networks, external partnerships, and service initiatives promoting inclusion and purpose.
- The position is eligible for a competitive benefits package and may also be eligible for performance-based compensation.
- The stated base pay range is $150k–$175k; additional compensation details are excluded from benefits.
Tech Stack
Categories
About Schonfeld
Schonfeld is a privately held, multi-manager hedge fund that allocates capital to internal and external portfolio managers across quantitative, fundamental equity, tactical trading, and discretionary macro/fixed-income strategies. The firm manages money for institutional and other sophisticated investors and supports teams with proprietary technology, infrastructure, and risk analytics. Founded in 1988 and headquartered in New York, it operates globally with an investing footprint spanning five continents.