JuniorDataScientist

Employment Type: Full-time collaborate with analytics and development teams to productionise solutions Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification. Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data. Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making Documentation: Maintain clear records of methodologies, data definitions, and model specifications Culture: Champion our values through proactive communication and teamwork Your background: Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field Strong proficiency in programming languages such as Python and R Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL Knowledge of data visualization tools such as Matplotlib and Seaborn Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces. Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems. Pro-active and flexible work mentality Interest in data-driven trading Fluency in English, both written and spoken. Preferred Background: Proven track record of excellence, academic or professional, in quantitative or analytical roles Experience working with time-series data, machine learning libraries, or cloud-based data platforms Demonstrated ability to innovate and drive end-to-end solutions The Hiring Process Application Review Online Assessments: Psychometric and logical reasoning tests Case Study: Research-ori