Derivative Trading Data & Analytics Associate

CGS International Securities Hong Kong Limited; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

CGS International Securities Hong Kong Limited is seeking a data analyst to support the derivatives trading team with data collection, cleaning and analysis of large datasets from market and internal sources.

You will conduct data mining and statistical analysis to identify patterns, build and maintain analytical tools and dashboards, and back-test trading models using historical data. Collaboration with traders and quants is essential.

Qualifications

• Experience with Python, SQL and Tableau.
• Strong analytical mindset with ability to interpret data.
• Detail-oriented with precision handling large datasets.
• Proactive learner with interest in financial markets.
• Strong communication skills for presenting findings.

Responsibilities

• Collect, clean, and organize large datasets from market and internal sources.
• Conduct data mining and statistical analysis to identify trading patterns.
• Develop dashboards to monitor market movements, trading performance, and risk metrics.
• Back-test quantitative models and validate trading strategies using historical data.
• Generate reports and visualizations to support trading decisions and management reviews.
• Collaborate with traders, quants, and risk analysts to improve data quality.
• Ensure accuracy, consistency, and confidentiality of all trading-related data and analysis.

Skills

Python

SQL

Tableau

Analytical mindset

Detail-oriented

Proactive learner

Strong communicator

Education

Bachelor's degree in a relevant field

Job description

CGS International Securities Hong Kong Limited is seeking a data analyst to support the derivatives trading team with data collection, cleaning and analysis of large datasets from market and internal sources.

You will conduct data mining and statistical analysis to identify patterns, build and maintain analytical tools and dashboards, and back-test trading models using historical data. Collaboration with traders and quants is essential.