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Quantitative Finance Analyst

Charlotte, North Carolina;

Job Description:

As a Quantitative Finance Analyst within the Global Risk Analytics teams, your main responsibilities will involve:


•    Conducting model performance testing, monitoring and data quality assessment
•    Undertaking analytical research on model outcome and testing results
•    Developing model performance monitoring technical documentation
•    Executing project plans with teammates in GRA, technology, and finance
•    Proactively identifying risks and improvements to existing processes and technology architecture
•    Effectively communicating analytical and research results as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, and technology
 

Required Skills and Experience

  • Masters Degree in Finance, Statistics or other relatable degree

  • 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

  • Strong programming skills, e.g. SAS, SQL, Python, R, or similar language

  • Experience with data analytics tools (e.g., Alteryx, Tableau, MicroStrategy)

  • Identifies, assigns, and manages project tasks and timelines across teams

  • Effectively presents findings, data, and conclusions to influence senior leaders

  • Sees the broader picture and is able to identify new methods for doing things

  • Experience with LaTeX

Enterprise Role Profile

Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

As a Quantitative Finance Analyst within the Global Risk Analytics teams, your main responsibilities will involve:


•    Conducting model performance testing, monitoring and data quality assessment
•    Undertaking analytical research on model outcome and testing results
•    Developing model performance monitoring technical documentation
•    Executing project plans with teammates in GRA, technology, and finance
•    Proactively identifying risks and improvements to existing processes and technology architecture
•    Effectively communicating analytical and research results as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, and technology
 

Required Skills and Experience

  • Masters Degree in Finance, Statistics or other relatable degree

  • 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

  • Strong programming skills, e.g. SAS, SQL, Python, R, or similar language

  • Experience with data analytics tools (e.g., Alteryx, Tableau, MicroStrategy)

  • Identifies, assigns, and manages project tasks and timelines across teams

  • Effectively presents findings, data, and conclusions to influence senior leaders

  • Sees the broader picture and is able to identify new methods for doing things

  • Experience with LaTeX

Enterprise Role Profile

Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21050184

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

0