Jobs / Singapore / Binance Europe Limited
Binance Accelerator Program - Data Scientist, Analytics
Binance Europe Limited · 🌍 Australia; Hong Kong; Singapore; Taiwan; United Arab Emirates
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesNo salary stated. Singapore Employment Pass needs at least SGD 67,200 a year. Source: https://www.mom.gov.sg/passes-and-permits/employment-pass/eligibility, rules effective 2025-01-01.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Binance Europe Limited
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Binance Europe Limited →
About the role
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world. About the Team The Risk AI DS team builds risk-detection models on large-scale user behavior, fund-flow and market data. What You'll Do • Own a real-world project stream end-to-end, such as syndicate detection, user behavior sequencing, market manipulation detection, or feature discovery. • Process and analyze billions of records using PySpark, Hive, and Trino, and develop robust SQL pipelines for feature engineering and validation. • Build, evaluate, and iterate on machine learning models, translating model performance into meaningful business metrics such as detection rate, false-positive rate, and latency. Requirements • Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. • Strong foundation in machine learning concepts, with proficiency in Python and SQL. • Familiarity with database management systems such as MySQL, PostgreSQL, SQL Server, or MongoDB. • Comfortable working with large-scale datasets; experience with Apache Spark is a plus. • Proficient in leveraging AI coding agents, such as Claude Code or Cursor, to accelerate development and improve productivity. • Proactive and detail-oriented, with a strong instinct for investigating data anomalies and identifying root causes. • Bilingual English/Mandarin is required to effectively coordinate with overseas partners and stakeholders. Why Binance • Shape the future of finance • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read our Candidate Privacy Notice . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.