Location: NJ, Morristown. See job description below. Please contact me directly via email [email protected] ( number1 before @). 1-2 year relevant experience is ideal, we accept fresh graduates too. Good opportunity. Hurry up .
Responsibilities The Quantitative Strategies team (QS) delivers model development, research and analysis to support Business Capital in 3 objectives: • Building and supporting models for Commercial Banking • Building and supporting models for regulatory requirements • Build tools & process enhancements and identifying opportunities to automate parts of model development and contribute to infrastructure, tool, or process improvement to enable efficiencies on the team • Ad-hoc quantitative support for other areas in the organization The role will primarily focus on supporting model development and Big Data/Machine Learning initiatives Qualifications • Advanced degree (Masters or PhD) required in Quantitative Finance, Applied Mathematics, Statistics, Engineering, or other quantitative-oriented disciplines • 3+ years of experience developing/validating statistical and financial models • Experience successfully collaborating with others in a change driven environment, particularly technology, internal controls, and project management teams • Demonstrated ability to effectively organize tasks, manage time, set priorities and deadlines • Strong quantitative skills and analytical problem-solving ability required • Functional with database development, maintenance, and extraction of data • Advanced programming skills in one of the following - R, SAS, MATLAB or Python • Knowledge of Model Risk Management Regulatory Guidance (SR 11-7/OCC 2011-12) • Experience in CECL/DFAST environment is desirable • Excellent written and verbal communication and interpersonal skills, including the ability to reach the best possible results without compromising the work quality • Understand technical issues in statistical modeling, including theoretical assumptions and methodology limitations, data pitfalls, model sensitivities, simulation approaches or scenario analyses for low-default portfolios, and applying these skills toward providing robust solutions to business problems • Team-work oriented and strong presentation skills • Results oriented
Responsibilities The Quantitative Strategies team (QS) delivers model development, research and analysis to support Business Capital in 3 objectives:
• Building and supporting models for Commercial Banking • Building and supporting models for regulatory requirements • Build tools & process enhancements and identifying opportunities to automate parts of model development and contribute to infrastructure, tool, or process improvement to enable efficiencies on the team • Ad-hoc quantitative support for other areas in the organization The role will primarily focus on supporting model development and Big Data/Machine Learning initiatives Qualifications • Advanced degree (Masters or PhD) required in Quantitative Finance, Applied Mathematics, Statistics, Engineering, or other quantitative-oriented disciplines • 3+ years of experience developing/validating statistical and financial models • Experience successfully collaborating with others in a change driven environment, particularly technology, internal controls, and project management teams • Demonstrated ability to effectively organize tasks, manage time, set priorities and deadlines • Strong quantitative skills and analytical problem-solving ability required • Functional with database development, maintenance, and extraction of data • Advanced programming skills in one of the following - R, SAS, MATLAB or Python • Knowledge of Model Risk Management Regulatory Guidance (SR 11-7/OCC 2011-12) • Experience in CECL/DFAST environment is desirable • Excellent written and verbal communication and interpersonal skills, including the ability to reach the best possible results without compromising the work quality • Understand technical issues in statistical modeling, including theoretical assumptions and methodology limitations, data pitfalls, model sensitivities, simulation approaches or scenario analyses for low-default portfolios, and applying these skills toward providing robust solutions to business problems • Team-work oriented and strong presentation skills • Results oriented