AI Strategy Analyst London, England, United Kingdom

We are looking for a technically‑minded individual with a deep personal interest in AI/ML to join the DMFI COO Office as a dedicated AI Strategy Analyst.

This is not a traditional quant or engineering role — it sits at the intersection of investment workflows, data strategy, and applied AI, with a mandate to drive real adoption and measurable impact across our Macro Ph D or Master's in a quantitative/technical discipline strongly preferred (Computer Science, Data Science, Machine Learning, Computational Finance, Physics, Mathematics, Engineering, or similar).

Genuine, demonstrable passion for AI — personal projects, open‑source contributions, research papers, or equivalent evidence of self‑directed learning.

Hands‑on proficiency with Python; experience with ML frameworks (Py Torch, Tensor Flow, Hugging Face), LLM APIs (Open AI, Anthropic), and data manipulation libraries (pandas, numpy).

Familiarity with NLP concepts: embeddings, vector databases, RAG architectures, prompt engineering, fine‑tuning.

Comfort working with large datasets and building data pipelines (SQL, cloud storage, APIs).

Interest in or exposure to financial markets — particularly macro/fixed income — is a strong plus but not required; we will teach the domain to the right technical candidate.

Excellent communication skills — ability to explain complex technical concepts to non‑technical PMs and translate vague business needs into concrete technical solutions.

Self‑starter mentality: comfortable with ambiguity, able to prioritise independently, and driven to ship tangible outcomes rather than just produce analysis.

Collaborative and low‑ego; able to work across seniority levels from junior analysts to senior PMs and C‑suite.

What Success Looks Like (First 12 Months) Measurable increase in PM AI adoption rates across DMFI.

At least 3‑5 fully deployed, production‑quality AI workflows generating demonstrable time savings or insight generation for PMs.

Complete catalogue of DMFI datasets with clear AI‑accessibility status and roadmap.

Regular training cadence established with positive PM feedback.

Clear prioritisation framework agreed with central AI team for DMFI‑specific enhancements.

Quantified ROI metrics linking AI usage to operational efficiency and/or investment edge.

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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.

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