Highly Skilled Quantitative Data Analyst Lead
1 month ago
We are seeking an expert to provide strategic business insights and technical support for Trading, Execution, and Sales teams at Nicoll Curtin - Singapore. As a key member of our team, you will focus on developing cutting-edge quantitative models, building complex data pipelines, and creating interactive dashboards to drive data-driven decision-making across the trading floor.
Key Responsibilities:- Conduct in-depth statistical analyses to generate actionable insights for Trading, Execution, and Sales teams, driving business growth and optimization.
- Design and implement sophisticated quantitative models for Market Making, Order Execution, and Delta One desks, leveraging your expertise in Mathematical Finance and Financial Markets.
- Develop and maintain scalable data pipelines and dashboards tailored to various trading floor use cases, ensuring data accuracy and reliability.
- Mine, clean, and analyze large datasets to identify trends and opportunities, informing effective use-case development and business strategy.
- Write clean, well-documented code in Python to optimize and automate trading workflows, improving efficiency and reducing risk.
- Support the Markets Data Analytics team in business development efforts, collaborating with external vendors, managing schedules, preparing reports, and creating presentations that drive business outcomes.
- Build and maintain software applications, user interfaces, APIs, and automated reports to support business functions, enhancing operational efficiency and customer satisfaction.
- Present findings related to business performance and Data Science methodologies to stakeholders, effectively communicating complex ideas and insights.
- Contribute to the development of the Data Analytics platform, including database and Data Lake architecture, ensuring seamless integration and scalability.
- Collaborate with Data Scientists, Developers, and Traders to meet project timelines, delivering high-quality results and exceeding expectations.
Estimated Salary: $120,000 - $180,000 per annum, commensurate with experience and qualifications.
Required Skills and Qualifications:- Master's or PhD 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, with advanced skills in Power BI, Tableau, and VBA/Power Query.
- Strong background in Quantitative or Algorithmic Trading, with knowledge of Machine Learning methods and Mathematical Finance.
- Familiarity with Agile methodologies, Scrum, and Jira, with experience working with Git, SQL, Spark, and Dash or similar tools.
- Exposure to cloud platforms such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake, with additional experience with MLOps tools (e.g., Dataiku), R, or Scala a plus.
- Strong communication skills, attention to detail, and the ability to present technical findings to non-technical audiences.
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