Market Data Analyst

2 days ago

Singapore Nicoll Curtin - Singapore Full time

**Key Responsibilities**:

- 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.
- 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 (e.g., Dataiku), R, or Scala is a plus.
- Strong communication skills, attention to detail, and the ability to present technical findings to non-technical audiences.

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