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Data Analyst, Risk

1 hour, 26 minutes ago
Taiwan, Australia, Hong Kong
Full-time
Mid Level
Data Analyst
Data Science and Analytics
Blockchain Feature Engineering Machine Learning Power BI Python SQL Tableau
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Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised
View All Jobs 317

Description

  • Manage and maintain a comprehensive user tagging system to support personalized services and risk control initiatives.
  • Analyze user behavior data to build accurate, dynamic, and actionable user profiles.
  • Perform data mining, feature engineering, and exploratory analysis on large-scale datasets.
  • Collaborate with Product, Risk, Marketing, and Technology teams to improve user segmentation and targeting strategies.
  • Monitor the effectiveness of user tags and user profiles and improve their quality, accuracy, and relevance.
  • Support data-driven decision-making across the organization.
  • Identify patterns, anomalies, and emerging trends in user behavior to support business growth and risk mitigation.
  • Contribute to the continuous improvement of data methodologies, profiling frameworks, and analytical processes.

Requirements

  • Bachelor’s degree or above in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
  • 3–5 years of experience in data analysis, user profiling, customer segmentation, or related areas.
  • Strong background in data analytics, user behavior analysis, and customer segmentation.
  • Proficiency in Python, SQL, and data visualization tools such as Tableau or Power BI.
  • Experience with big data platforms and related tools is a plus.
  • Solid understanding of user tagging methodologies and user journey mapping.
  • Familiarity with black-market ecosystems and operating models of bonus abuse, promotion abuse, or fraudulent studio groups is highly preferred.
  • Hands-on experience identifying and combating bonus abuse, promotion abuse, or fraudulent studio groups is a strong advantage.
  • Knowledge of machine learning techniques and experience applying them to user data is an advantage.
  • Experience with AI technologies and practical applications is a plus.
  • Excellent analytical thinking and problem-solving skills.
  • Ability to work collaboratively in a fast-paced, international team environment.
  • Detail-oriented with a strong sense of data accuracy, consistency, and integrity.
  • Preferred experience in internet platforms, fintech, risk control, growth analytics, or anti-fraud domains.
  • Familiarity with experimentation frameworks, A/B testing, and user lifecycle analysis.
  • Experience working with large-scale behavioral datasets and real-time analytics scenarios.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the work nature of the business team.
  • Opportunity to work with world-class talent in a global organization with a flat structure.
  • Autonomy to tackle unique, fast-paced projects in an innovative environment.
  • Career growth and continuous learning opportunities.
  • Equal opportunity employer with a diverse workforce commitment.

Interested in this position?

Apply directly on the company website

Apply Now

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