
Expert Fraud Risk Modeller
1 week ago
Job Role: Strategic Risk Analyst
To excel in this role, you will require 5+ years of experience designing, developing, and maintaining risk models to prevent fraud across various financial products and channels.
- Risk Model Development & Validation: Utilize advanced statistical and machine learning techniques to build, implement, and validate fraud detection and prevention models.
- Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights.
- Exposure Assessment & Monitoring: Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats.
- Stakeholder Communication & Collaboration: Effectively present analytical findings and model performance to stakeholders.
- Documentation & Reporting: Maintain comprehensive documentation of model development processes and risk assumptions.
- Technical Skills: Strong proficiency in Python, SQL, and data science tools.
- Domain Expertise: Deep understanding of risk domain expertise.
- Leadership & Teamwork: Ability to lead risk analytics initiatives and collaborate with teams.
Qualifications:
- Bachelor's or Master's degree in a quantitative discipline.
- 6-7 years of hands-on experience in developing and maintaining risk models.
- Proven experience in risk analytics and modeling.
- Strong programming skills in Python, SQL, R, or SAS.
- Proficiency with machine learning and statistical techniques.
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