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Modeling DevOps Python Data Visualization Coding Communicate And Collaborate With Ext
 
Requirement id 103452
Job title Engineer
Job location in Charlotte, NC
Skills required Modeling, DevOps, Python, Data Visualization Coding Communicate An
Open Date 12-Feb-2020
Close Date
Job type Contract to Hire
Duration 12 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Engineer: Modeling, DevOps, Python, Data Visualization Coding Communicate An

Job Description :

The Counterparty Risk Management is searching help with strategic reporting solution:



Develop and enhance existing Python code base to all covered asset classes.
Design and enhance additional DevOps procedures in ECRM space
Develop comprehensive testing framework for existing Python code base and deploy automated unit test pre-commit hook to enforce code quality
Build, validate, and implement predictive models using machine learning algorithms (e.g., Random Forests, GBM, neural networks, SVM, Naïve Bayes Classifier), as well as traditional statistical modeling techniques (e.g., time series forecasting, linear and logistic regression).
Be able to research and propose optimization techniques, such as Bagging, Boosting, simulated annealing and alpha-beta search etc, according to different ML models.
Present model results and analytic findings, provide insight and actionable recommendations to business partners to support data driven and evidence based decision-making.
Research and develop in-memory Python-based knowledge graph.




Desired Qualifications


1+ years of Derivatives and SFTs pricing and modeling
2+ years (academic or professional) experience of Python coding and using basic packages such as Pandas
Good working knowledge of DevOps
An MS in applied mathematics, business intelligence and analytics, computer science or other quantitative field
Knowledge of Counterparty Risk and general risk metrics.
Basic knowledge of financial products structures and pricing methodologies

Following would be a plus:

Knowledge of common machine learning frameworks: e.g. scikit-learn, Tensorflow, PyTorch
Knowledge of common data visualization toolkits, e.g. D3 and Business Intelligence and Analytics platforms, e.g. Tableau and/or QliKView
Understanding of knowledge engineering, graph databases, SPARQL, semantic modeling, and RDF would be preferred.
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 103452 while calling.
 
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(Engineer: Modeling, DevOps, Python, Data Visualization Coding Communicate An in Charlotte, NC)
     
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