JUNIOR MARKET ANALYST
About This Role
Key Responsibilities:
- Support traders within your designated market team to develop and refine trading strategies
- Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market
- Build and maintain forecasting models to support short term or long term market views
- Prepare clear market summaries, dashboards and presentations for internal stakeholders
- Monitor real time news, fundamentals and data to inform daily trading decisions
- Build and maintain personal AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports.
- Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools.
- Collaborate with trading, risk and analytics teams to support commercial objectives
- Contribute to research on trading and hedging opportunities within your market
- Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams
Your background:
- 0 3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
- Bachelor s degree (or near completion) or master s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come from a purely technical or theoretical background.
- Exposure to at least one programming language (e.g. Python, C++, Java, or similar)
- Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights.
- A "Builder" mindset: Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
- Understanding of basic concepts in data structures, algorithms and computational thinking
- Personal values aligned with Cobblestone s culture and long-term vision
- Strong sense of ownership and responsibility
- Desire to grow within a high-performance, intellectually demanding environment
- 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
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