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Quantitative Financial Analyst

Charlotte, North Carolina;

Job Description:

The selected candidate will be responsible for conceptualizing, implementing, and socializing structured solutions to ambiguous and complex business problems using a combination of proprietary and third-party data and quantitative techniques, including modern data science concepts and methodologies.

The candidate will also have the opportunity to collaborate with team members to develop strategic capabilities that form the basis for future research and analysis.

Lastly, all team members are expected collaborate with, and influence, members at and below their peer group in other functions inside and outside of the immediate organization.

Required and desired qualifications:

Bachelors/Masters degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline
• Phd or 2+ years professional experience
• Strong Programming skills e.g. R, Python, SAS, SQL or other languages
• Strong analytical and problem-solving skills
• Experience using and developing cross-sectional models
• Experience implementing models into various production environments
• 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 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
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
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 managing large data sets utilizing tools such as Hadoop
• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
• Experience with data analytics and visualization tools (e.g., Alteryx, Tableau, MicroStrategy)
• Experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
• 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 Python, Alteryx & Tableau highly desired

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

The selected candidate will be responsible for conceptualizing, implementing, and socializing structured solutions to ambiguous and complex business problems using a combination of proprietary and third-party data and quantitative techniques, including modern data science concepts and methodologies.

The candidate will also have the opportunity to collaborate with team members to develop strategic capabilities that form the basis for future research and analysis.

Lastly, all team members are expected collaborate with, and influence, members at and below their peer group in other functions inside and outside of the immediate organization.

Required and desired qualifications:

Bachelors/Masters degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline
• Phd or 2+ years professional experience
• Strong Programming skills e.g. R, Python, SAS, SQL or other languages
• Strong analytical and problem-solving skills
• Experience using and developing cross-sectional models
• Experience implementing models into various production environments
• 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 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
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
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 managing large data sets utilizing tools such as Hadoop
• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
• Experience with data analytics and visualization tools (e.g., Alteryx, Tableau, MicroStrategy)
• Experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation
• 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 Python, Alteryx & Tableau highly desired

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21053926

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

0