Binance
via Lever
Data Analytics Manager (Risk/Fraud/KYC)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 13h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 97d ago
The date the source published, not the day we noticed it (2026-06-10). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Asia
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 42d ago · last seen 1h ago
The listing
Responsibilities
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Research and analyze risk patterns occurred on Binance platforms, using data driven thinking and quantitative analysis methodologies to identify, measure, contain and mitigate risks (e.g. fraud trading, spam registration, account takeover, card acquiring risk and payment fraud).
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Deploy, monitor and assess the effectiveness and stability of variables, rules and models, maintain and iterate the rules/strategies regularly to improve key risk matrix.
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Liaising with various stakeholders to develop new rules and strategy with optimized balance between user experience and risk mitigation solutions
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Business-Centric Strategic Analysis: Think and act like a business owner — 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 that directly support the company's broader growth strategy.
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Executive-Level Strategic Partnership: Serve as a trusted, objective thought partner to Compliance business leaders and senior management, helping define what "success" looks like for the function. Co-develop north-star metrics, performance frameworks, and decision-making criteria that bridge compliance objectives with company-wide priorities.
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Team Leadership & Impact Maximization: Lead and develop the Compliance Data Analytics team with a clear vision and high standards. Build a collaborative, high-performance culture where each team member's strengths are fully utilized — ensuring the team operates as a strategic force multiplier for the Compliance organization, not just a reporting function.
Requirements
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Bachelor degree or above, major in mathematics, statistics, computer science, etc.;
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At least 6-8 years of data analysis or data mining related work experience, risk analysis background of financial derivatives (futures contracts, leverage trading, etc.) or eComm platforms is preferred. Knowledge of blockchain, payment, risk domain is plus credit;
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Proficient in SQL language and at least one professional analysis tool, such as Python and R;
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Good willingness and ability to learn, outstanding ability to analyze and solve problems, and good coordination and communication