Binance Accelerator Program - Data Analyst, Risk Operations at Binance

Taipei, New South Wales, Taiwan -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, User Behavior Analysis, Customer Segmentation, Python, SQL, Data Visualization, Analytical Thinking, Problem-Solving, Collaboration, Detail-Oriented

Industry

Financial Services

Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE Who may apply Current university students and recent graduates \n Responsibilities Assist in managing and maintaining user tagging systems to support personalized services and risk control. Support analysis of user behavior data to help build accurate and dynamic user profiles. Participate in data mining and feature engineering tasks to extract insights from user data. Collaborate with cross-functional teams including Product, Risk, Marketing, and Technology to support user segmentation and targeting strategies. Help monitor and evaluate the effectiveness of user tags and profiles, contributing to data quality improvements. Support data-driven decision-making processes across the organization through data collection and reporting. Requirements Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Basic understanding of data analytics, user behavior analysis, or customer segmentation concepts. Familiarity with Python and SQL; experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Eagerness to learn about user tagging methodologies and user journey mapping. Strong 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 and integrity. Exposure to machine learning concepts or AI technologies is a plus but not required. Commitment to a minimum duration of 6 months, preferably 1 year. Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders. \n Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

Assist in managing user tagging systems and support analysis of user behavior data. Collaborate with cross-functional teams to enhance user segmentation and contribute to data-driven decision-making.