Risk Analyst (SQL), Fraud Prevention

Binance
Hong Kong +1 more
Remote

Who this role is best for

A natural match if you have 5+ years in fraud risk or risk strategy within fintech or crypto, and can work in a remote-first setup with international collaboration.

Best fit for

  • Candidates with 5+ years in fraud risk or risk strategy within fintech or crypto organizations
    — “A minimum of 5 years of relevant experience in risk control, fraud risk, or risk strategy, preferably within a fintech, financial services, or crypto organisation”
  • Individuals skilled in translating fraud case findings into actionable detection signals and strategies
    — “Translate findings into detection signals, rules, and mitigation strategies together with data science and engineering teams”
  • Professionals with strong data analysis and investigative skills, especially in SQL and Python
    — “Proficiency in Python/SQL”

Things to consider

  • The role may require occasional in-person work despite the remote-first arrangement
    — “Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)”
  • The position involves working across multiple international teams and locations
    — “Collaborate with Product, Engineering, Data Science, Customer Support, Legal & Compliance, and external partners”

How to stand out

  • Highlight experience in building fraud detection signals or rules from raw data
    — “Translate findings into detection signals, rules, and mitigation strategies”
  • Showcase your ability to investigate fraud cases using on-chain and internal data sources
    — “Conduct thorough investigations into suspicious transactions, accounts, and user behaviors, using internal data, on-chain data, and external sources”
  • Demonstrate your capability to design and implement risk control measures for user protection
    — “Design and implement risk control measures that prevent losses and protect users”
  • Quantify past impact in fraud prevention, such as reduced losses or improved detection rates
    — “Build metrics, dashboards, and case reviews to measure strategy effectiveness”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and implemented risk control measures
  • Identified new fraud trends and prevented losses
Typical background
5+ years of experience in risk control or fraud risk

Skills & requirements

Required

Fraud Risk AnalysisData AnalysisRisk Control MeasuresSQLPython

Preferred

Blockchain Tracking Tools

Stack & domain

PythonSQLCommunicationFinanceFraud Prevention

About the role

Original posting from Binance via Greenhouse

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.

Responsibilities:

Monitor and analyze fraud risk across the platform, spanning payment fraud, account takeover, scams, and other emerging abuse typologies.

Conduct thorough investigations into suspicious transactions, accounts, and user behaviors, using internal data, on-chain data, and external sources to identify patterns, networks, and root causes.

Perform feature mining and in-depth data analysis on fraud cases; translate findings into detection signals, rules, and mitigation strategies together with data science and engineering teams.

Design and implement risk control measures that prevent losses and protect users, such as alerts, verifications, and friction applied at high-risk moments in the customer journey. Develop and refine operational procedures to improve the efficiency of risk controls.

Track industry-wide fraud and abuse trends; proactively identify new attack vectors and drive prevention initiatives before they scale.

Build metrics, dashboards, and case reviews to measure strategy effectiveness (detection coverage, warning engagement, false positives, prevented losses, repeat victimization).

Collaborate with Product, Engineering, Data Science, Customer Support, Legal & Compliance, and external partners to embed risk controls into the customer journey and ensure user and platform security.

Requirements:

A minimum of 5 years of relevant experience in risk control, fraud risk, or risk strategy, preferably within a fintech, financial services, or crypto organisation or the related experience on anti-fraud control.

Strong understanding of fraud typologies, hands-on experience in at least one risk domain (phishing, scam, payment fraud, account takeover, or platform abuse) is preferred.

Solid investigative and data analysis skills; comfortable working independently from raw data to insight to action.

Proficiency in Python/SQL.

Excellent written and verbal communication skills in English.

Strong interest and tenacity in understanding and protecting users against fraud and abuse.

Knowledge of blockchain tracking tools is advantageous, but not required.

Exceptional interpersonal and communication skills; able to collaborate effectively with an international team of highly skilled professionals.

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.

Source: Binance careers (Greenhouse)

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