המקום בו המומחים והחברות הטובות ביותר נפגשים
Responsibilities and Skills:
- Communicate technical subject matter clearly and concisely to individuals from various backgrounds
- Understanding of quantitative modeling in relation to Commercial loan portfolio and deposit behaviors
- Extensive experience in Python or other object-oriented language
- Ability to clearly communicate modeling results to a wide range of audiences
- Drive to develop and maintain high quality and transparent model documentation
- Strong written and verbal communication skills
- Strong presentation skills
- Deep knowledge of Commercial products, financial statements, and balance sheet management
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining PhD with an expectation that required degree will be obtained on or before the scheduled start date
- At least 2 years of programming experience or financial modeling or econometric modeling (can include Graduate School Research work)
Preferred Qualifications:
- Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Finance, Operations Research, Engineering, Physics or related discipline
- At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages)
- At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification, and clustering
- At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages)
New York City (Hybrid On-Site): $165,100 - $188,500 for Prin Assoc, Quant AnalysisThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.. 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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