Risk Analyst (SQL), Fraud Prevention
New
B
BinanceCrypto fraud
Location: Australia; Hong Kong; Singapore; Taiwan; United Arab EmiratesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- Excellent written and verbal communication skills in English.
- Experience
- A minimum of 5 years of relevant experience in risk control, fraud risk, or risk strategy
- Required Skills
- PythonSQLData Analysis
Requirements
- Have at least 5 years of relevant experience in risk control, fraud risk, or risk strategy.
- Bring experience in anti-fraud control, preferably in fintech, financial services, or crypto.
- Have a strong understanding of fraud typologies.
- Have hands-on experience in at least one risk domain, such as phishing, scams, payment fraud, account takeover, or platform abuse.
- Demonstrate investigative and data analysis skills, including the ability to work independently from raw data to insight to action.
- Be proficient in Python and SQL.
- Have excellent written and verbal communication skills in English.
- Bring an interest in protecting users against fraud and abuse.
- Knowledge of blockchain tracking tools is advantageous but not required.
- Be able to collaborate effectively with an international team.
Responsibilities
- Monitor and analyze fraud risk across the platform, including payment fraud, account takeover, scams, and emerging abuse typologies.
- Investigate suspicious transactions, accounts, and user behaviors using internal data, on-chain data, and external sources.
- Perform feature mining and data analysis on fraud cases, and translate findings into detection signals, rules, and mitigation strategies.
- Design and implement risk controls such as alerts, verifications, and friction at high-risk points in the customer journey.
- Develop and refine operational procedures to improve the efficiency of risk controls.
- Track industry-wide fraud and abuse trends, identify new attack vectors, and drive prevention initiatives.
- Build metrics, dashboards, and case reviews to measure strategy effectiveness.
- Collaborate with Product, Engineering, Data Science, Customer Support, Legal & Compliance, and external partners to embed risk controls into the customer journey.
View Full Description & ApplyYou'll be redirected to the employer's site
