Quantitative Analyst - FSRM - QAS -Trading Book - FSO - Mgr - Multiple Positions - 1651183

Ernst & Young • Hoboken, NJ

76d • $191,922

About The Position

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. As a Quantitative Analyst in the Financial Services Office, you will advise clients on Financial Services issues in the financial services industry, focusing on quantitative analysis. You will deliver services in market risk, counterparty credit risk, risk management and governance, model development and implementation, model/system documentation, and model benchmarking while establishing relationships with client personnel at appropriate levels. You will design and apply quantitative techniques to help institutions develop and validate market risk modeling methodologies. Your role will involve the practical application of advanced analytics techniques to help clients solve business problems and complex issues in the financial services industry. You will apply statistical, economic, financial, or mathematical theories to process input data into quantitative estimates, which are used for identifying and measuring risks, valuing exposures, instruments or positions, conducting stress testing, assessing adequacy of capital, measuring compliance with internal limits, or meeting financial or regulatory reporting requirements. You will demonstrate technical capabilities and professional knowledge, communicate and interpret technical concepts to both technical and non-technical client stakeholders, and consistently deliver quality client services by leading teams, monitoring progress, managing risks and ensuring key stakeholders are kept informed about progress and expected outcomes.

Requirements

• Must have Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, Finance, Data Science or a related field and 5 years of progressive post-baccalaureate work experience in quantitative analysis.
• Alternatively, must have a Master's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, Finance, Data Science or a related field and at least 4 years of work experience in quantitative analysis.
• Alternatively, must have a PhD in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, Finance, Data Science or a related field and 2 years of work experience in quantitative analysis.
• Must have 2 years of work experience in at least 3 of the following areas: Financial product engineering or research and development, Designing and developing quantitative methods and services for capital markets and derivative products, Front Office pricing models, Market and Counterparty Credit Risk models, liquidity models, treasury function models, operational risk models or Comprehensive Capital Analysis and Review (CCAR) models, Statistical and numerical techniques and the principles of the theory of probability and stochastic calculus, Functional knowledge related to modeling knowledge of financial risks and derivative products, risk management, model development, model validation, advanced analytics, Functional experience in market risk modeling and associated methodologies.
• Must have at least 2 years of work experience in at least 2 of the following programming languages: R, MATLAB, C/C++, Python, Java, SQL.
• Must have at least 1 year of working experience managing projects and teams.

Nice To Haves

• Experience with advanced analytics models, building machine learning algorithms (using Random Forest, SVM, Deep Learning and similar techniques) or Blockchain development and application.
• Experience with big data, machine learning and AI techniques using tools like TensorFlow, Theano, Torch, and/or Keras.

Responsibilities

• Advise clients on Financial Services issues in the financial services industry, focusing on quantitative analysis.
• Deliver services in market risk, counterparty credit risk, risk management and governance, model development and implementation, model/system documentation, and model benchmarking.
• Establish relationships with client personnel at appropriate levels.
• Design and apply quantitative techniques to help institutions develop and validate market risk modeling methodologies.
• Perform the practical application of advanced analytics techniques to help clients solve business problems and complex issues.
• Apply statistical, economic, financial, or mathematical theories to process input data into quantitative estimates.
• Identify and measure risks, value exposures, instruments or positions, conduct stress testing, assess adequacy of capital, measure compliance with internal limits, or meet financial or regulatory reporting requirements.
• Demonstrate technical capabilities and professional knowledge.
• Communicate and interpret technical concepts to both technical and non-technical client stakeholders.
• Consistently deliver quality client services by leading teams, monitoring progress, managing risks and ensuring key stakeholders are kept informed.

Benefits

• Comprehensive compensation and benefits package.
• Base salary of $191,922.00 per year.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options.
• Flexible vacation policy.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree