Master or PhD in a technical field, such as Statistics, Mathematics, Physics, Engineering, Economics, or alike.
• 4+ years of work experience as a Quantitative Analyst or Data Analyst in a financial firm.
• Advanced coding skills in Python.
• Advanced knowledge of Power BI, Tableau, and VBA / Power Query.
• Proven experience in Quantitative Trading and/or Algorithmic Trading.
• Knowledge of Machine Learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics.
• Certain knowledge of Mathematical Finance and Financial Markets, for example Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• Knowledge of Scrum methodology, Agile framework, and Jira.
• Knowledge of Git, SQL, Spark, and Dash (or similar).
• Familiarity with cloud services such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake. • Experience with Business Development is a plus.
• Experience with MLOps tools (e.g. Dataiku or similar) and with programming languages such us R and Scala is a plus.
• Collaborative, team player, open minded, and easy to work with.
• Proficient presentation skills and high attention to detail.
• Able to explain technical results to non-technical audiences
