Singapore Job Openings

Nicoll Curtin - Singapore
Data & Quant Analyst
FULL TIME & CONTRACT
November 6, 2024
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 Ph D in Statistics, Mathematics, Physics, Engineering, Economics, or a similar field.
- At least 4 years of experience as a Quantitative Analyst or Data Analyst in the finance sector.
- Proficiency in Python coding.
- Advanced skills in Power BI, Tableau, and VBA/Power Query.
- Strong background in Quantitative or Algorithmic Trading.
- Knowledge of Machine Learning methods, including clustering, factor modeling, reinforcement learning, and advanced statistical techniques.
- Understanding of Mathematical Finance and Financial Markets, such as Algorithmic Trading, Derivatives, Portfolio Management, and Numerical Methods.
- Familiarity with Agile methodologies, Scrum, and Jira.
- Experience with Git, SQL, Spark, and Dash or similar tools.
- Exposure to cloud platforms such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
- 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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