What you'd do
- Build real-time ML models to prevent Account Takeover and fraud decisioning for customer protection
- Develop credit risk models and analytical frameworks to assess merchant risk and support lending growth
- Translate business requirements into analytical,modeling,and strategy problems across fraud,credit,onboarding,and related risk domains
What they want
- 3+ years of experience in analytics,data science,risk strategy,or related quantitative roles
- Bachelor's degree in quantitative field (Statistics,Mathematics,Economics,Computer Science,or Engineering)
- Proficiency in Python and SQL for data analysis and statistical modeling
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Nice to have
- Experience in credit,fraud,or related risk domains
- Hands-on experience in model development,validation,or monitoring
- Experience designing risk rules,decision strategies,or performance monitoring frameworks
Seoulstart's read
- Work authorization
- Not stated, verify with recruiter
- Language beyond English
- No language beyond English stated
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