Wealth Management-Quantitative Engineering-Analyst-Dallas
USD 115K-180K (estimate) Entry-level Full Time
Tasks
- Build anomaly detection workflows
- Build portfolio analysis tools
- Build quantitative models
- Deliver valuation and risk metrics
- Design and deploy risk strategies
- Develop machine learning fraud detection models
- Develop risk management reporting tools
- Develop stress based risk models
- Maintain strategist analytical systems infrastructure
- Optimize data driven business decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Spark | Counterparty Credit Risk | Credit Risk | Decision Trees | Fraud Detection | Gradient boosting | Machine Learning | NumPy | Pandas | Python | Random Forest | Regression Analysis | Risk Management | SQL | Scikit-learn | Series analysis | Stress Testing | Time Series | Time Series Analysis | Valuation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analyst | Engineer | Quantitative Analyst | Quantitative Engineer
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