Market Data Analyst

Nicoll Curtin; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

A leading company in finance is seeking a highly skilled Data Analyst to enhance trading, execution, and sales decisions through deep data insights. You will contribute by designing quantitative models and developing data pipelines, becoming a pivotal part of the Markets Data Analytics team to support business development and technical projects.

Qualifications

• At least 4 years of experience as a Data Analyst/Market Data Analyst.
• Good understanding of financial markets and trading instruments.
• Experience working with large data sets using SQL/Datalake/Spark.

Responsibilities

• Conduct statistical analyses for business insights.
• Design and implement quantitative models for trading.
• Develop and maintain data pipelines and dashboards.

Skills

Statistical analyses

Data modelling

Data warehousing

ETL processes

Python

R

Julia

Communication skills

Attention to detail

Education

Master’s or PhD in Statistics, Mathematics, Physics, Engineering, Economics

Tools

Power BI

Tableau

SQL

Excel

VBA

Power Query

Azure Data Lake

Spark

Databricks

MLOps tools (e.g., Dataiku)

Job description

We are seeking a highly skilled Data Analyst to provide business insights and support for Trading, Execution, and Sales teams. This role focuses on developing quantitative models, building data pipelines, and creating dashboards to drive data-driven decision-making across trading floor.

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.
• 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:

• Master’s or PhD in Statistics, Mathematics, Physics, Engineering, Economics, or a similar field.
• At least 4 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.