Schonfeld

1 month ago

Software Engineer - Fundamental Equities

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join the Fundamental Equity COO team as a Software Engineer to build backend services, data pipelines, and internal APIs in AWS, collaborating with quant researchers and COO management. Drive AI integration with LLMs, agentic workflows, and multi-model orchestration to enhance productivity and leverage existing data. Own end-to-end delivery with proactive, business-facing impact.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Write clean, well-structured, maintainable code and contribute to good engineering practices within the team, including CI/CD pipelines and version control
•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
•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

Pay and Benefits

Salary: USD 150,000 - 175,000 annually

Key Requirements

•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
•Practical familiarity with MCP servers, agentic frameworks, or multi-model orchestration architectures (custom implementations or equivalent

Experience:2-5 yearsFinanceHedge fundAsset managementQuantitative

Skills:PythonSQLPostgreSQLFastAPIAWSEC2DockerKubernetesPrefectAirflowTerraformLLMAIAgentsMCP serversToolingCI/CDVersion controlDocumentationTesting

Languages:English

Tech Stack:PythonSQLPostgreSQLFastAPIAWSDockerKubernetesPrefectAirflowTerraform

Company Brief

Schonfeld

Schonfeld is a multi‑strategy investment firm that deploys capital across systematic and discretionary strategies across equities, macro, and quantitative trading, serving institutional and private investors globally.

Industry: Hedge Funds

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Website

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Schonfeld

1 month ago

Software Engineer - Fundamental Equities

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Write clean, well-structured, maintainable code and contribute to good engineering practices within the team, including CI/CD pipelines and version control
•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
•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

Pay and Benefits

Salary: USD 150,000 - 175,000 annually

Key Requirements

•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
•Practical familiarity with MCP servers, agentic frameworks, or multi-model orchestration architectures (custom implementations or equivalent

Experience:2-5 yearsFinanceHedge fundAsset managementQuantitative

Skills:PythonSQLPostgreSQLFastAPIAWSEC2DockerKubernetesPrefectAirflowTerraformLLMAIAgentsMCP serversToolingCI/CDVersion controlDocumentationTesting

Languages:English

Tech Stack:PythonSQLPostgreSQLFastAPIAWSDockerKubernetesPrefectAirflowTerraform

Company Brief

Schonfeld

Industry: Hedge Funds

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Website