EY
Quantitative Analyst-FSRM-QAS-Trading Book-FSO-Manager-Multiple Positions-162610
EY, Hoboken, New Jersey, us, 07030
Overview
Quantitative Analyst, Financial Services Risk Management - Quantitative Advisory Services - Trading Book - Financial Services Office (Manager) (Multiple Positions) (1626109) at Ernst & Young U.S. LLP in Hoboken, NJ. This role focuses on quantitative analysis for financial services risk management, with emphasis on market risk, counterparty credit risk, risk governance, model development and validation, and related analytics. Responsibilities
Advise clients on Financial Services issues with a focus on quantitative analysis in market risk, counterparty credit risk, risk management and governance, model development and implementation, model/system documentation, and model benchmarking. Design and apply quantitative techniques to help institutions develop and validate market risk modeling methodologies. Apply advanced analytics to solve business problems in the financial services industry; transform data into quantitative estimates used for risk identification, exposure valuation, stress testing, capital adequacy assessment, regulatory reporting, and compliance with internal limits. Communicate technical concepts to both technical and non-technical client stakeholders; lead teams and monitor progress, manage risk, and keep stakeholders informed about progress and outcomes. Qualifications
Minimum Requirements:
Must have a Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, Finance, Data Science or related field and 5 years of progressive post-baccalaureate work experience in quantitative analysis. Alternatively, a Master’s degree in the same fields with at least 4 years of experience, or a PhD with 2 years of experience. The candidate must have 2 years of work experience in at least 3 of the following areas: Financial product engineering or R&D for capital markets and derivatives Designing quantitative methods and services for capital markets and derivative products Front Office pricing models, Market and Counterparty Credit Risk models, liquidity models, treasury models, operational risk models or CCAR models Statistical and numerical techniques, probability theory, and stochastic calculus Functional knowledge in modeling financial risks and derivatives, risk management, model development/validation, advanced analytics (machine learning) Market risk modeling and methodologies within risk management frameworks Advanced analytics models, machine learning algorithms (Random Forest, SVM, Deep Learning) or Blockchain development Big data, AI techniques using tools such as TensorFlow, Theano, Torch, Keras At least 2 years of work experience in at least 2 of the following programming languages: R, MATLAB, C/C++, Python, Java, SQL At least 1 year of experience managing projects and teams Requires domestic and regional travel up to 70% to serve client needs. EY will accept any suitable combination of education, training, or experience. What We Offer
We offer a comprehensive compensation and benefits package. The base salary is $187,115 per year, plus a Total Rewards package including health coverage, pension/401(k), and paid time off. EY supports a hybrid model with in-person and remote work expectations and flexible vacation policies to accommodate personal circumstances. Continuous learning and development opportunities Tools and flexibility to make a meaningful impact Transformative leadership and supportive coaching Diverse and inclusive culture We welcome applications on an ongoing basis. If you meet the criteria, apply online at ey.com/en_us/careers. (Job Number - 1626109) Additional Information
EY is an equal employment opportunity employer. EY provides reasonable accommodation for applicants with disabilities. If you require assistance applying online or an accommodation during any part of the application process, contact EY’s Talent Shared Services. For U.S. workers information, see the applicable regulatory notice. California users: additional information is available at EY’s site. Seniority level:
Mid-Senior level Employment type:
Full-time Job function:
Research, Analyst, and Information Technology Industries:
Professional Services
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Quantitative Analyst, Financial Services Risk Management - Quantitative Advisory Services - Trading Book - Financial Services Office (Manager) (Multiple Positions) (1626109) at Ernst & Young U.S. LLP in Hoboken, NJ. This role focuses on quantitative analysis for financial services risk management, with emphasis on market risk, counterparty credit risk, risk governance, model development and validation, and related analytics. Responsibilities
Advise clients on Financial Services issues with a focus on quantitative analysis in market risk, counterparty credit risk, risk management and governance, model development and implementation, model/system documentation, and model benchmarking. Design and apply quantitative techniques to help institutions develop and validate market risk modeling methodologies. Apply advanced analytics to solve business problems in the financial services industry; transform data into quantitative estimates used for risk identification, exposure valuation, stress testing, capital adequacy assessment, regulatory reporting, and compliance with internal limits. Communicate technical concepts to both technical and non-technical client stakeholders; lead teams and monitor progress, manage risk, and keep stakeholders informed about progress and outcomes. Qualifications
Minimum Requirements:
Must have a Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, Finance, Data Science or related field and 5 years of progressive post-baccalaureate work experience in quantitative analysis. Alternatively, a Master’s degree in the same fields with at least 4 years of experience, or a PhD with 2 years of experience. The candidate must have 2 years of work experience in at least 3 of the following areas: Financial product engineering or R&D for capital markets and derivatives Designing quantitative methods and services for capital markets and derivative products Front Office pricing models, Market and Counterparty Credit Risk models, liquidity models, treasury models, operational risk models or CCAR models Statistical and numerical techniques, probability theory, and stochastic calculus Functional knowledge in modeling financial risks and derivatives, risk management, model development/validation, advanced analytics (machine learning) Market risk modeling and methodologies within risk management frameworks Advanced analytics models, machine learning algorithms (Random Forest, SVM, Deep Learning) or Blockchain development Big data, AI techniques using tools such as TensorFlow, Theano, Torch, Keras At least 2 years of work experience in at least 2 of the following programming languages: R, MATLAB, C/C++, Python, Java, SQL At least 1 year of experience managing projects and teams Requires domestic and regional travel up to 70% to serve client needs. EY will accept any suitable combination of education, training, or experience. What We Offer
We offer a comprehensive compensation and benefits package. The base salary is $187,115 per year, plus a Total Rewards package including health coverage, pension/401(k), and paid time off. EY supports a hybrid model with in-person and remote work expectations and flexible vacation policies to accommodate personal circumstances. Continuous learning and development opportunities Tools and flexibility to make a meaningful impact Transformative leadership and supportive coaching Diverse and inclusive culture We welcome applications on an ongoing basis. If you meet the criteria, apply online at ey.com/en_us/careers. (Job Number - 1626109) Additional Information
EY is an equal employment opportunity employer. EY provides reasonable accommodation for applicants with disabilities. If you require assistance applying online or an accommodation during any part of the application process, contact EY’s Talent Shared Services. For U.S. workers information, see the applicable regulatory notice. California users: additional information is available at EY’s site. Seniority level:
Mid-Senior level Employment type:
Full-time Job function:
Research, Analyst, and Information Technology Industries:
Professional Services
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