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Описание вакансии
Текст:
TL;DR
Data Analytics Manager (Risk/Fraud/KYC): Developing and optimizing risk detection systems for the Binance ecosystem with an accent on fraud trading, account takeover, and payment risk. Focus on building quantitative analysis methodologies, optimizing risk-mitigation rules, and leading a high-performance compliance data team.
Location: Remote (Asia)
Company
Binance is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume and registered users.
What you will do
- Research and analyze risk patterns (fraud, spam, account takeover) using quantitative methodologies.
- Deploy and iterate rules and models to improve key risk metrics and system stability.
- Collaborate with stakeholders to balance user experience with effective risk mitigation.
- Translate regulatory and operational data into actionable strategic insights to drive efficiency.
- Partner with senior management to define success metrics and performance frameworks for the compliance function.
- Lead and develop the Compliance Data Analytics team, fostering a high-performance culture.
Requirements
- Bachelor's degree or above in Mathematics, Statistics, Computer Science, or a related field.
- At least 5 years of experience in data analysis or data mining.
- Background in risk analysis for financial derivatives or e-commerce platforms.
- Proficiency in SQL and at least one analysis tool such as Python or R.
- Strong problem-solving, coordination, and communication skills.
Nice to have
- Knowledge of blockchain, payment systems, or the risk domain.
Culture & Benefits
- Opportunity to shape the future of the world’s leading blockchain ecosystem.
- Collaboration with world-class talent in a flat organizational structure.
- Autonomy to tackle unique, fast-paced projects in an innovative environment.
- Results-driven workplace with significant opportunities for career growth.
- Competitive salary and comprehensive company benefits.
- Work-from-home arrangements depending on the business team.
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