Data Analytics Manager – Risk, Fraud, KYC

🕒 June 10

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• Research and analyze risk patterns on Binance platforms using data-driven thinking and quantitative analysis to identify, measure, contain, and mitigate risks, including fraud trading, spam registration, account takeover, card acquiring risk, and payment fraud • Deploy, monitor, and assess the effectiveness and stability of variables, rules, and models • Maintain and iterate rules and strategies regularly to improve key risk metrics • Liaise with stakeholders to develop new rules and strategies balancing user experience and risk mitigation • Leverage data analytics to identify opportunities that streamline compliance operations, reduce friction, and drive measurable efficiency gains • Translate complex regulatory and operational data into actionable insights supporting the company's growth strategy • Partner with Compliance business leaders and senior management to define success for the function • Co-develop north-star metrics, performance frameworks, and decision-making criteria linking compliance objectives with company-wide priorities • Lead and develop the Compliance Data Analytics team with a clear vision and high standards • Build a collaborative, high-performance culture and maximize team impact for the Compliance organization

🎯 Requirements

• Bachelor's degree or above, majoring in mathematics, statistics, computer science, or a related field • At least five years of data analysis or data mining-related work experience • Background in risk analysis of financial derivatives or e-commerce platforms preferred • Knowledge of blockchain, payments, and risk domains is a plus • Proficiency in SQL • Proficiency in at least one professional analysis tool, such as Python or R • Willingness and ability to learn • Outstanding ability to analyze and solve problems • Good coordination and communication skills

🏖️ Benefits

• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) • Opportunities for career growth and continuous learning • 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