Risk Analytics Professional
1 week ago
Job Description:
- Key Responsibilities:
- Analyze historical data on Early Warning Systems (EWS), Risk Factor Analysis (RFA) and credit frauds across industry to develop and implement EWS triggers.
- Validate model performance metrics, process production data, and conduct deep-dive analytics to improve fraud detection accuracy.
- Leverage Python, PySpark, and Machine Learning (ML) frameworks to develop scalable solutions.
- Develop real-time analytics solutions to detect fraud transactions instantaneously.
Requirements:
- Candidate should have minimum 5-6 years' experience in analytical/statistical modeling and data analytics in Fraud Risk with overall experience of at least 8 years.
- Experience in Machine Learning & Statistical modeling, with expertise in supervised and unsupervised techniques.
- Python, PySpark, SQL, and software engineering fundamentals.
- Fraud analytics, risk modeling, and anomaly detection.
- Building dashboards & reports using Power BI and Python for model monitoring.
- Candidate should have excellent logical thinking and solution building skills.
- Good written and verbal communication skills.
- Professional Qualifications - MSc Statistics/ MTech/BTech/MBA from Tier1 colleges or universities with CFE certification preferred.
Benefits:
- A competitive salary package.
- Opportunities for professional growth and development.
- A dynamic and supportive work environment.
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