Conduct statistical analyses to generate actionable insights for Trading, Execution, and Sales teams.
Design and implement quantitative models for Market Making, Order Execution, and Delta One desks.
Develop and maintain data pipelines and dashboards tailored to various trading floor use cases.
Ensure data accuracy by mining, cleaning, and analyzing large datasets for effective use-case development.
Write clean, well-documented code in Python to optimize and automate trading workflows.
Support the Markets Data Analytics team in business development efforts, working with external vendors, managing schedules, preparing reports, and creating presentations.
Build and maintain software applications, user interfaces, APIs, and automated reports to support business functions.
Present findings related to business performance and Data Science methodologies to stakeholders.
Contribute to the development of the Data Analytics platform, including database and Data Lake architecture.
Collaborate with Data Scientists, Developers, and Traders to meet project timelines.
Key Requirements :
Bachelor Degree in Statistics, Mathematics, Engineering, Economics, or a similar field.
At least 5 years of experience as a Data Analyst / Market Data Analyst in the finance sector.
Good understanding of financial markets, trading instruments and market data feeds (Stocks, options, forex, futures)
Proficiency in Python, R or Julia
Strong understanding of data modelling, data warehousing and ETL processes
Advanced skills in Power BI, Tableau, SQL, Excel and VBA / Power Query.
Experience working with large data sets using SQL / Azure Data Lake / Spark / Databricks to derive actionable insights is preferred
Knowledge of Machine Learning methods, including clustering, factor modeling, reinforcement learning, and advanced statistical techniques is an advantage
Understanding of Mathematical Finance and Financial Markets, such as Algorithmic Trading, Derivatives, Portfolio Management, and Numerical Methods.
Familiarity with Agile methodologies, Scrum, and Jira.
Additional experience with MLOps tools (, Dataiku), R, or Scala is a plus.
Strongmunication skills, attention to detail, and the ability to present technical findings to non-technical audiences.
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Data Analyst • Singapore
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