Schonfeld

4 weeks ago

AI Strategy Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 39 minutes agoStatus: Live

Job Summary

Technically-minded AI-focused analyst joining the DMFI COO Office to bridge investment workflows, data strategy, and applied AI. You’ll own end-to-end AI tool deployment, build data sources, train PMs, and advocate DMFI priorities with the platform AI team, with a path to leadership as the function scales.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Strategy & Corporate Development

Seniority: Mid level

Key Responsibilities

•Own the end-to-end implementation of AI tools and workflows for DMFI PMs and analysts — from scoping use cases through to production deployment and adoption tracking.
•Build, test, and refine custom prompts, skill libraries, and automated workflows tailored to macro/fixed income investment processes.
•Develop and maintain custom datasources (vectorised document stores, research embeddings, email ingestion pipelines) that PMs can query via SchonAI/Claude.
•Work with proprietary pod-level data, market data (Bloomberg, Citi Velocity, DTCC), and internal analytics to create AI-accessible datasets.
•Prototype and iterate on use cases: AI-driven research briefs, trade write-ups, behavioural bias detection, position analytics, and idea generation tools.

Pay and Benefits

Salary: USD 185,000 - 230,000 annually

Key Requirements

•3-5 years post-university; PhD or Master’s in a quantitative/technical discipline strongly preferred
•Hands-on proficiency with Python; experience with ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM APIs (OpenAI, Anthropic)
•Familiarity with NLP concepts: embeddings, vector databases, RAG architectures, prompt engineering
•Comfort working with large datasets and building data pipelines (SQL, cloud storage, APIs)
•Excellent communication skills and ability to translate vague business needs into concrete technical solutions

Experience:3-5 yearsFinanceHedge fundAI

Education:PhD / Doctorate

Skills:CommunicationCollaborationSelf-starterProblem-solvingLeadership

Languages:English

Tech Stack:PythonPyTorchTensorFlowHuggingFaceOpenAIAnthropicPandasNumpyVector databasesEmbeddingsClaudeSQLCloud storageAPIs

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

4 weeks ago

AI Strategy Analyst

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 39 minutes agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Strategy & Corporate Development

Seniority: Mid level

Key Responsibilities

•Own the end-to-end implementation of AI tools and workflows for DMFI PMs and analysts — from scoping use cases through to production deployment and adoption tracking.
•Build, test, and refine custom prompts, skill libraries, and automated workflows tailored to macro/fixed income investment processes.
•Develop and maintain custom datasources (vectorised document stores, research embeddings, email ingestion pipelines) that PMs can query via SchonAI/Claude.
•Work with proprietary pod-level data, market data (Bloomberg, Citi Velocity, DTCC), and internal analytics to create AI-accessible datasets.
•Prototype and iterate on use cases: AI-driven research briefs, trade write-ups, behavioural bias detection, position analytics, and idea generation tools.

Pay and Benefits

Salary: USD 185,000 - 230,000 annually

Key Requirements

•3-5 years post-university; PhD or Master’s in a quantitative/technical discipline strongly preferred
•Hands-on proficiency with Python; experience with ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM APIs (OpenAI, Anthropic)
•Familiarity with NLP concepts: embeddings, vector databases, RAG architectures, prompt engineering
•Comfort working with large datasets and building data pipelines (SQL, cloud storage, APIs)
•Excellent communication skills and ability to translate vague business needs into concrete technical solutions

Experience:3-5 yearsFinanceHedge fundAI

Education:PhD / Doctorate

Skills:CommunicationCollaborationSelf-starterProblem-solvingLeadership

Languages:English

Tech Stack:PythonPyTorchTensorFlowHuggingFaceOpenAIAnthropicPandasNumpyVector databasesEmbeddingsClaudeSQLCloud storageAPIs

Company Brief

Schonfeld

Industry: Hedge Funds

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

Growth: Established Company

Headquarters: New York, United States

Website