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As a Senior Manager, Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of Economic forecasting models, stress testing models, finance forecasting models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy. With a network of over 200 quantitative analysts and statisticians, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
Responsibilities:
Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
Develop alternative model approaches to assess model design and advance future capabilities
Understand relevant business processes and portfolios associated with model use
Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices
Develop and maintain high quality and transparent documentation
Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework
Successful candidates would possess:
Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R
Ability to clearly communicate modeling results to management, model risk office, regulator and other modelers
Drive to continuously improve all aspects of their work in a collaborative fashion
Experience in machine learning
Strong communication skills with the ability to quickly understand existing models and new requirements/business needs
Experience working with Agile development methodologies
Strong grasp of econometric theory and methodologies
Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
Basic Qualifications:
Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
Preferred Qualifications:
PhD in Economics, Statistics, Mathematics, Financial Engineering, Finance, Physics or related disciplines
At least 5 years of experience in statistical modeling or regression analytics or machine learning
At least 2 years of experience managing large-scale projects
At least 2 years of experience managing a team of analysts
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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