About The Position
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 while establishing 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 in the financial services industry. 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. 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 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 (FO) 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 some of the following: modeling knowledge of financial risks and derivative products (e.g., equity, FX, commodities, credit and interest rates), risk management, model development, model validation, advanced analytics (e.g., machine learning techniques) - Functional experience in market risk modeling and associated methodologies and their role in the overall risk management framework. - Advanced analytics models, building machine learning algorithms (using Random Forest, SVM, Deep Learning and similar techniques) or Blockchain development and application - Big data, machine learning and AI techniques using one or combination of the following tools - TensorFlow - Theano - Torch - Keras
- 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.
- Requires domestic and regional travel up to 70% to serve client needs.
- Employer will accept any suitable combination of education, training, or experience.
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 while establishing 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 in the financial services industry.
- 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.
- 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 about progress and expected outcomes.
Benefits
- comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business
- Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a 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 when needed to support your physical, financial, and emotional well-being
- Continuous learning
- Success as defined by you
- Transformative leadership
- Diverse and inclusive culture
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
