Vertex Search

About the Company

Welcome to Vertex Search, where we specialise in recruiting top talent into world-leading organisations across trading & technology.

At Vertex, we believe that hiring and retaining the right people transforms businesses and drives innovation. We have seen this time and again over the years within world-leading organisations. That’s why we partner with the best candidates globally in industry and academia, who possess not only the technical expertise, but also the soft skills, creativity and vision, to have lasting impact with our clients.

Our team has a 20+ year track record in internal and agency recruitment, connecting exceptional talent with some of the most innovative trading and technology companies around the world.

We’re passionate about doing our part to help shape the future of our clients across technology and financial services, through the power of talent.

Feel free to reach out to the team on info@vertexsearch.co.uk to discuss a hiring requirement or your next move!

Listed Jobs

Company Name

Vertex Search

Job Title

Quantitative Researcher / Associate Portfolio Manager - Systematic Equities (Remote)

Job Description

Quantitative Researcher / Associate Portfolio Manager Role Summary: Develop and implement systematic equities strategies using machine learning and alternative data. Take full ownership of strategies from data capture to deployment in a remote collaborative environment. Expectations: Proven experience in ML-based equities strategy development and execution. Strong Python proficiency. Advanced STEM (MSc/PhD) in relevant discipline. Key Responsibilities: - Research, design, and backtest quantitative equities strategies leveraging alternative data sets. - Develop and deploy ML models for mid-frequency trading systems. - Manage end-to-end strategy lifecycle (data acquisition, modeling, testing, implementation). - Collaborate with teams to refine and scale algorithmic approaches. - Monitor live strategy performance and optimize models for risk-adjusted returns. Required Skills: - Python programming (data analysis, algorithm development). - Machine learning model design and evaluation. - Quantitative financial analysis and statistical modeling. - Data processing (cleaning, wrangling, and engineering for ML). - Strategy documentation and performance attribution techniques. Required Education & Certifications: - Master’s/PhD in STEM field (e.g., Mathematics, Physics, Computer Science). - No specific certifications required.

London, United kingdom

Remote

10-11-2025

Company Name

Vertex Search

Job Title

Director of Product Management

Job Description

**Job Title:** Director of Product Management – Applied Machine Learning **Role Summary:** Lead the development and execution of AI‑powered products that accelerate scientific and technological advancement across global programs. Define the applied AI strategy, align it with organizational goals, and inspire cross‑functional teams to deliver high‑impact solutions. **Expectations:** - Drive a clear AI product vision that supports mission‑critical research and real‑world impact. - Foster a culture of rapid, data‑driven decision making in a fast‑paced, mission‑first environment. - Translate scientific and business challenges into actionable product plans and measurable outcomes. **Key Responsibilities:** 1. Define the applied AI strategy in partnership with senior leadership. 2. Identify high‑value AI/ML opportunities that align with program missions and company priorities. 3. Lead cross‑functional product teams (data science, engineering, software, scientists) from concept to launch. 4. Serve as the bridge between technical and non‑technical stakeholders, ensuring clear roadmaps and stakeholder alignment. 5. Own full product lifecycle: ideation, validation, prioritization, delivery, and post‑launch metrics. 6. Establish OKRs, track progress, iterate based on outcomes, and report impact to leadership. **Required Skills:** - Proven record of leading AI‑driven product teams and delivering measurable outcomes. - Deep understanding of AI/ML concepts, modern software development practices, and product lifecycle management. - Experience managing complex, end‑to‑end product lifecycles with cross‑disciplinary teams. - Strong communication and stakeholder‑management skills; ability to translate technical insights to non‑technical audiences. - Strategic mindset with ability to balance long‑term vision and short‑term execution. **Required Education & Certifications:** - Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical or scientific discipline. - Certifications in product management or AI/ML (e.g., Scrum, SAFe, or AI/ML professional credentials) are a plus.

London, United kingdom

On site

05-12-2025