Trading experience in Financial market is MUST
Perform statistical analyses and derive business insights for Trading, Execution, and Sales
• Develop quantitative models for Market Making, Order Execution, and Delta One desks.
• Build data pipelines and dashboards associated to distinct use cases on the Trading floor.
• Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.
• Develop well-documented code, mainly in Python, for optimizing and automating trading flow.
• Assist with the business development and vision of Markets Data Analytics, including liaising with external vendors, scheduling and monitoring teamwork, preparing reports, and building business presentations.
• Assist with the creation of software applications, user interfaces, APIs, and automated reports for business users.
• Present insights associated to business results and Data-Science methodologies to key stakeholders.
• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.
• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.
Requirement
• 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.