Quantitative Trading Analyst designing risk management solutions for a high - growth fintech firm leveraging blockchain technology. Responsible for architecting protocol risk and facilitating high - leverage trading systems.
About the role
- Fraud Analyst at Kalshi protecting users by detecting and preventing fraud in financial markets. Analyzing transactional data and collaborating with teams for robust defenses.
Responsibilities
- Monitor real-time transactions, account activity, and behavioral patterns to identify potential fraud or abuse.
- Investigate suspicious activity, document findings, and recommend next steps for remediation.
- Define, test, and optimize fraud detection rules to improve accuracy and reduce false positives.
- Analyze fraud data to identify trends and propose new rules or controls.
- Partner with engineering, product, and compliance to improve detection systems and automate workflows.
- Support incident response, escalations, and fraud investigations.
- Build and maintain dashboards and reports to track fraud health metrics.
- Stay current on evolving fraud techniques, payment risks, and industry best practices.
Requirements
- 2+ years of experience in fraud prevention, payments risk, or financial crime investigation at a fintech, trading, or marketplace company.
- Strong analytical skills with proficiency in SQL / Python
- Familiarity with fraud typologies such as account takeover, identity fraud, transaction fraud, and chargebacks.
- Comfortable analyzing large datasets and working cross-functionally to solve problems.
- Excellent attention to detail and communication skills.
- Curiosity and initiative to dig deep into ambiguous cases and drive improvements.
- Experience with ACH, card payments, or digital wallets, and knowledge of AML/KYC frameworks.
Benefits
- Committed to creating a culture of inclusion and belonging
- Equal opportunity employer
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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