Mortgage Originator at Spaceship Mortgage

For this assignment, consider one of the following employment scenarios:

 

  1. Mortgage Originator at Spaceship Mortgage (a national financial firm) – as the originator you are responsible for working with the lender to determine credit worthiness.  You have customers from all over the country applying for mortgages.  You can use this geospatial data to inform your team about potential leads.

 

 

 

Directions:

 

  1. Select one of the three positions listed above.  In addition, you may want to research about that industry and the use of credit (mortgage, municipal debt, auto).

 

  1. Review available references regarding credit and geospatial data:

 

Credit:

  • Chapter 6.5 Corporate Bonds

Berk J., & Demarzo P. (2019). Corporate Finance. [VitalSource Bookshelf]. Retrieved from https://bookshelf.vitalsource.com/#/books/9780134997568/

  • Credit Risk Overview:

https://www.bankrate.com/glossary/c/credit-risk/

 

GIS:

  • What is GIS:

https://www.youtube.com/watch?v=LHDCRjAxpI0

  • GIS & Finance / Risk:

https://carto.com/industries/financial-services/

 

  1. Review the 9 maps with finance, economic, and education data. Examine the data by zooming into the state, county, and even zip code level.  You will choose 3 of the 9 maps that you believe could support business decisions at your selected role.

 

https://livingatlas.arcgis.com/policy/browse/?col=881df7cff4a64264a9dca03c7b40342b,dfe8b9ec4bbe44c5af59a703c17cc9bd,17809d959f594d36a61d80342a2c2bf8,8d47a8ebd86144579098314f9db92cf4,a97f6424904b465bb489fea84b2872b7,28d994af9dcb4c09a4e9ebdb9e6ae9f8,8d58318df89d469aadacf010610d52a8,2547cbfa8a1146e5812d0d9c699cf91f,196df855fd95422e9e5c5d6210209d5a&hs=0&viz=881df7cff4a64264a9dca03c7b40342b&loc=-107.928,34.656,3

 

 

Deliverable: In a Word document, provide a 2-3 page paper that addresses the following:

 

  • Introduction: Provide a brief overview of the employment scenario you selected above (mortgage originator, portfolio manager, or credit analyst). Identify job functions or roles you would expect to have at the company.  Include the opportunity for geospatial data and analytics to support your firm.

 

  • Body/Analysis: Identify each of the 3 maps selected from above. For each map you should include:
  1. Explain the information provided in the map.
  2. Are there any regional trends (i.e. Southwest, Georgia, Northeast, etc.)?
  3. How could this map support credit risk analysis in your business line?
  4. Did you find anything interesting about the data (location specific)?

 

Remember, GIS is a tool you can use to improve decision making at your company.  Make sure to apply the data to the potential decisions being made (lending, investing, etc.).

 

  • Conclusion: Summarize your research and findings regarding the use of GIS and data analytics. Given the data you identified, would you feel more confident making a credit decision?

 

 

Upload the Word document to Blackboard Assignments Week 5 folder. Make sure to cite the sources using APA format.

 

Rubric:  Evaluation Criteria for Assignment #2

 

Report Elements Exemplary

90-100%

Proficient

80-89%

Developing

60-79%

Emerging

1-59%

Not Complete

0%

 

 

Introduction

30 – 27

Clearly and concisely identifies the employment selection and potential roles.

26 – 24

Clearly defines the employment selection and potential roles.

 

23 – 18

Describes the employment selection and potential roles.

17 – 1

Vaguely describes the employment selection and roles or opportunities.

0

Paper does not provide an introduction.

 

 

Identification, explanation, and analysis of maps and selected role

75 – 68

Clearly and concisely provides three maps that would support the firm on making credit decisions.

67 – 60

Clearly provides two datasets that would support the firm on making credit decisions.

 

59 – 45

Provides two datasets that somewhat supports the firm on making credit decisions.

44 – 1

Provides at least 1 dataset or map that vaguely relates to supporting the firm with credit decisions.

0

The datasets or maps required are not provided.

 

 

Conclusion

 

 

 

30 – 27

Clearly and concisely summarizes the findings related to providing a data-driven credit analysis.

26 – 24

Fairly clearly summarizes the findings related to providing a data-driven credit analysis.

 

23 – 18

Somewhat summarizes the findings related to providing a data-driven credit analysis.

17- 1

Vaguely summarizes the data and purpose of the exercise.

0

No conclusion or summary is provided.

Writing Format & Mechanics 15 – 13

Paper incorporates all criteria in the assignment detail at an exemplary level.  There are no grammar, APA, or spelling errors.

12 – 10

Paper incorporates all criteria in the assignment detail at a proficient level.  There are minimal grammar, APA, or spelling errors.

9 – 7

Paper incorporates most criteria in the assignment detail at a developing level. There are grammar, APA, or spelling errors.

6 – 1

Paper incorporates some criteria in the assignment detail. There are numerous spelling, grammar, or APA errors.

0

Paper is off topic or not sufficiently developed. The paper is difficult to understand with numerous spelling, grammar, or APA errors.

 

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