Data Analyst - Chinese Speaker

Risk Data Analyst

Job Overview

We are seeking a Risk Data Analyst to monitor and analyze user trading behaviors, identify suspicious trading patterns, and manage risk accounts. Fresh graduates are welcome to apply.

Key Responsibilities

Trading Behavior Analysis

• Analyze large volumes of user trading data to identify behavioral patterns and emerging trends
• Monitor key trading metrics including frequency, volume, timing patterns, and position management
• Develop comprehensive reports and data visualizations for risk assessment and decision-making
  
  

• Design, build, and maintain sophisticated anomaly detection models to identify suspicious accounts
• Conduct real-time monitoring of trading activities to detect unusual patterns and behaviors
• Generate timely alerts for potential risk cases, policy violations, and regulatory concerns
  
  

• Systematically track and follow up on suspicious account activities and risk indicators
• Maintain detailed documentation of risk cases and investigation outcomes
• Collaborate effectively with compliance, legal, and business teams on account management actions
  
  

• Bachelor's degree or above in Finance, Economics, Statistics, Mathematics, Data Science, or related quantitative fields
• Fresh graduates welcome , 1-2 years experience preferred but not required
  
  

• Programming : Proficiency in Python for data analysis, statistical modeling, and automation
• Database Management : Strong SQL skills for complex data extraction, manipulation, and analysis
• Financial Knowledge : Understanding of forex markets, trading mechanisms, and risk management principles
• Data Visualization : Advanced Excel skills and experience with data visualization tools
  
  

• Trading Experience : Personal experience in forex, stocks, or other financial instruments
• Relevant Internships : Experience in financial institutions or fintech companies
• Certifications : CFA, FRM, or other relevant professional certifications
  
  

• Location : Dubai (Fully On-site)
• Schedule : Standard business hours with flexibility for evening shifts to cover global trading sessions
• Work Environment : Data-driven professional atmosphere with emphasis on continuous learning and development