- Architect & Build AI Systems: Design and implement end-to-end AI applications using LLMs, multi-agent workflows, and automation frameworks (e.g., LangChain, LangGraph), moving rapidly from PoC to production.
- Hands-On Model Development: Fine-tune, chain, and deploy LLMs and other ML models — actively writing and reviewing code.
- Integrate AI into Core Products: Collaborate with engineering teams to embed AI capabilities into new and existing products, ensuring scalability, maintainability, and business impact.
- Shape AI Processes & Governance: Establish standards for data quality, model validation, responsible AI practices, and deployment workflows in collaboration with compliance and governance teams.
- Stay Ahead of the Curve: Monitor and explore emerging tools and trends in AI/ML, automation, and data engineering to maintain competitive advantage.
- Measure & Iterate: Define KPIs and success metrics for AI initiatives, using data-driven approaches to refine models, workflows, and product direction.
- Experience: 5+ years in product or technical leadership with a proven track record of delivering complex, data-intensive technology products.
- Programming & Development: Proficiency in Python, Jscript, DB (SQL,NoSQL), C#
- AI/ML Frameworks: Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, Transformers....
- Core ML Competencies:
- Supervised Learning: Data classification, regression, and time-series forecasting.
- Unsupervised Learning: Clustering, anomaly detection, and dimensionality reduction.
- NLP: LLMs, embeddings, RAG, prompt engineering, text classification, and sentiment analysis.
- Model Optimization: Fine-tuning, transfer learning, hyperparameter tuning, and model evaluation/validation.
- Automation & Orchestration: N8n, AI agents, LangChain, LangGraph, workflow engines, and MCP.
- Technical Fluency: Strong understanding of software development practices, APIs, and cloud platforms (AWS, Azure, GCP). Experience with data architectures and building/maintaining data pipelines is highly valued.
- Portfolio Requirement: Demonstrated portfolio of AI/ML projects (e.g., GitHub repositories, technical case studies, production AI deployments, or published research) showcasing end-to-end solution development and integration.
Top Skills
What We Do
Market Securities is one of the largest independent financial intermediaries in the world, providing institutional investors and experienced trading teams with superior market access, research, price discovery, and liquidity across asset classes.
With desks specializing in equities, fixed income, FX, structured products, and derivatives, we connect investment banks, hedge funds, proprietary trading firms, and asset managers to the markets they need, with precision, speed, and a broker-first mindset.
Our teams operate from eight key financial centers across Europe, North America, and Asia: London, New York, Paris, Madrid, Monaco, Dubai, Hong Kong, and Geneva. We also provide access to the Group’s Organised Trading Facilities in the EU and the UK.
Founded by seasoned professionals, Market Securities is built on discretion, integrity, and independence, offering cross-asset solutions tailored to the needs of institutional clients.
