Responsibilities
Perform statistical analyses and derive business insights for Trading, Execution, and Sales at finance Markets.
Develop quantita..
Responsibilities
Perform statistical analyses and derive business insights for Trading, Execution, and Sales at finance Markets.
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.
Qualifications & Skills
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.
