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Quantitative Finance Manager

Charlotte, North Carolina;

Job Description:

Manages a group of staff responsible for developing and evaluating quantitative analytics/modeling for specific business units or types of transactions. Directs activity of staff in their area in providing support to the business unit and to other business units within Bank of America.

Actively involved in the analytics effort, but spends significant amount of time managing staff and coordinating projects. Acts as a senior level resource or resident expert on particular analytic/quantitative modeling techniques. Provides guidance to staff on areas of expertise.

Required:
-Ability to work in a large, complex organization, and influence various stakeholders and partners
-Self-starter; Initiates work independently, before being asked
-Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
-Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
-Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
-Effectively presents findings, data, and conclusions to influence senior leaders
-Ability to work in a highly controlled and audited environment
-Demonstrated leadership skills; Ability to exert broad influence among peers
-Strong analytical and problem-solving skills
-Experience using and developing cross-sectional models such as, …
-Experience implementing models into various production environments
-In-depth understanding of current modeling principles including but not limited to:
Experience using and developing simulations…
Experience using and developing stochastic models
Experience using and developing time series models
Strong programming skills, Python, R, SAS, Software Engineering, SQL


Desired:
-Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
-Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
-Experience developing and maintaining complex databases and data sets
-Experience using data mining and other advanced analytical techniques to aggregate data for model development and/or to produce management reporting
-Experience with data visualization tools
-Experience managing large data sets utilizing tools such as Hadoop
-Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
-Experience as an Oracle developer or with Oracle database, Oracle cloud
-Experience with data analytics tools (e.g., Alteryx, Tableau)
-Experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
-Demonstrated ability to drive action and sustain momentum to achieve results
-Identifies, assigns, and manages project tasks and timelines across teams
-Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
-Experience with LaTeX
-flow
 

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Manages a group of staff responsible for developing and evaluating quantitative analytics/modeling for specific business units or types of transactions. Directs activity of staff in their area in providing support to the business unit and to other business units within Bank of America.

Actively involved in the analytics effort, but spends significant amount of time managing staff and coordinating projects. Acts as a senior level resource or resident expert on particular analytic/quantitative modeling techniques. Provides guidance to staff on areas of expertise.

Required:
-Ability to work in a large, complex organization, and influence various stakeholders and partners
-Self-starter; Initiates work independently, before being asked
-Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
-Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
-Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
-Effectively presents findings, data, and conclusions to influence senior leaders
-Ability to work in a highly controlled and audited environment
-Demonstrated leadership skills; Ability to exert broad influence among peers
-Strong analytical and problem-solving skills
-Experience using and developing cross-sectional models such as, …
-Experience implementing models into various production environments
-In-depth understanding of current modeling principles including but not limited to:
Experience using and developing simulations…
Experience using and developing stochastic models
Experience using and developing time series models
Strong programming skills, Python, R, SAS, Software Engineering, SQL


Desired:
-Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
-Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
-Experience developing and maintaining complex databases and data sets
-Experience using data mining and other advanced analytical techniques to aggregate data for model development and/or to produce management reporting
-Experience with data visualization tools
-Experience managing large data sets utilizing tools such as Hadoop
-Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
-Experience as an Oracle developer or with Oracle database, Oracle cloud
-Experience with data analytics tools (e.g., Alteryx, Tableau)
-Experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
-Demonstrated ability to drive action and sustain momentum to achieve results
-Identifies, assigns, and manages project tasks and timelines across teams
-Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
-Experience with LaTeX
-flow
 

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21059148

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

0