- Company Name
- Cooper Fitch
- Job Title
- Head of Applied AI – Investments
- Job Description
-
**Job Title**: Head of Applied AI – Investments
**Role Summary**
Lead the design, development, and deployment of end‑to‑end AI/ML systems that drive alpha generation, portfolio construction, and risk analytics across a global investment platform. Build and scale a world‑class Applied AI & Quant research team, bridging deep technical expertise with strategic investment decision‑making.
**Expectations**
- Build and commercialize production‑grade AI/quant systems that influence multi‑billion dollar investment decisions.
- Establish a modern, scalable quant + AI research platform with cutting‑edge methods (LLMs, agentic AI, advanced quant techniques).
- Deliver high visibility and measurable impact on senior leadership strategy.
- Foster a culture of innovation, rigorous engineering, and continuous learning.
**Key Responsibilities**
1. **Platform Architecture & Engineering** – Design and own the end‑to‑end AI/ML pipeline from data ingestion to model deployment, ensuring scalability, robustness, and compliance.
2. **Alpha & Risk Research** – Lead research initiatives that uncover trading signals, refine portfolio construction algorithms, and enhance risk analytics tools.
3. **Decision‑Support Development** – Build real‑time decision‑support dashboards and AI‑driven recommendation engines for investment teams.
4. **Team Leadership** – Recruit, mentor, and grow a high‑performance team of AI/quant engineers, researchers, and data scientists.
5. **Stakeholder Collaboration** – Translate technical insights into actionable investment strategies in partnership with portfolio managers and senior executives.
6. **Governance & Compliance** – Ensure all AI/ML models meet regulatory standards, ethical guidelines, and risk controls.
7. **Innovation Management** – Evaluate and pilot emerging technologies (LLMs, reinforcement learning, automated agents) and integrate them into the investment workflow.
**Required Skills**
- 15+ years of senior leadership in quantitative research, AI/ML, or data science within investment environments (hedge funds, asset managers, private equity).
- Proven track record of building and deploying production‑grade AI/quant systems that deliver alpha and risk insights.
- Deep expertise in machine learning frameworks (TensorFlow, PyTorch, JAX), large‑language‑model development, reinforcement learning, and probabilistic modelling.
- Strong quantitative and financial knowledge covering portfolio theory, risk modelling, and factor analysis.
- Leadership skills: team building, cross‑functional collaboration, strategic thinking, effective communication of technical concepts to non‑technical stakeholders.
- Experience with cloud infrastructure, data engineering, and DevOps pipelines for ML lifecycle management.
- Understanding of financial regulations, compliance, and ethical AI practices.
**Required Education & Certifications**
- Advanced degree (PhD or Master) in Computer Science, Electrical Engineering, Mathematics, Quantitative Finance, or a related field.
- Optional professional certifications: CFA, FRM, or recognized AI/ML credentials (e.g., TensorFlow Developer, Microsoft Certified: Azure AI Engineer, etc.).