Sr Quantitative Representative - Pricing, Renca

Job Description
The Sr Quantitative Analyst - Pricing plays a key role in enhancing pricing strategies and processes through pricing model development and data driven business solutions.
The Associate will focus on improving model integrity and accuracy through the collection, analysis, interpretation, and presentation of origination and forecast data.
They will also apply advanced quantitative and analytical skills to improve decisions supporting various internal clients.
This position will interact with many other departments to achieve overall company objectives.
Responsibilities
Develop and maintain complex pricing models and perform profitability analysis for all of International Operations
Monitoring and validating model performance and updating models as needed
Developing and maintaining various databases, technical models, and reports required to support product and pricing proposals and analytic responsibilities
Conducting ad hoc projects incorporating project design, data collection, model development, and analysis
Summarizing findings and presenting results
Developing recommendations for pricing policies and procedures
Gathering and analyzing data to determine impact to company profitability and financials
Providing direction, training, and guidance to less experienced pricing and finance personnel and leading projects or special assignments as required
What makes you an ideal candidate?
Strong quantitative, analytical and data mining skills
Ability to identify and understand business issues and map these issues into quantitative questions
Efficient modeling skills with very large datasets using SAS, SQL, Python, or R
Proficiency in statistical experimental design or econometrics
Ability to design and implement model documentation and monitoring protocols
Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniques
Advanced knowledge of principles, standards, practices, and techniques relating to profitability modeling for a financial firm
Knowledge of applied statistical methodologies including multiple regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, Bayes networks, non-parametric techniques, principal components, and linear programming techniques
Effective written and verbal presentation skills with an ability to communicate well with Senior Management
Organized, detail oriented, and ability to work independently with minimum instruction or supervision
An ability to interact collaboratively with internal customers and external vendors
Capable of managing multiple and varied projects including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, and meeting deadlines
Demonstrated quantitative skills and ability to apply complex financial and mathematical principles
Advanced process and model documentation skills
Advanced Excel, SQL, Python, R, and/or SAS software skills
Good Word and Power Point skills
Qualifications
2-4 years of related work experience or similar quantitative field
Greater than 5 years of modeling experience and strong coding skills
Bachelor's Degree
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