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Market Data Analyst

Market Data Analyst

Nicoll Curtin - SingaporeSingapore
30+ days ago
Job description

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.
  • 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