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Senior Quantiative Finance Analyst

Charlotte, North Carolina;

Job Description:

 Forecast Administration and Analytics employees possess a broad set of skills necessary to evaluate financial risk, produce regulatory reporting and evaluate portfolio risk for emerging, systemic, concentration and idiosyncratic risks.  They collaborate with business partners to identify risk mitigation strategies.  They possess high levels of skill in portfolio analysis, econometrics, financial analysis and data visualization.
As a forecast administrator we are responsible for all loss forecast results that are produced, though your role is not  only ensure an accurate loss forecast but to drive accountability across the organization (e.g. FLU risk ID). To be  successful you must understand the products in your line of business and the risks that lead to economic losses.
 

Successful candidates will have a Masters or PhD in Math, Economics, Statistics, or similar discipline, and a minimum 5 years relevant experience.

Successful candidates will possess the following skills:

• 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
• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• Strong programming skills, e.g. Python, R, or similar language
• Strong analytical and problem-solving skills
The team requires a diversity of thoughts and experiences that are grounded in a core set of competencies with the  ability to connect data points from across the enterprise.
Business acumen and communication
Risk management
Analytical capabilities
Leadership
Building Collaborative Relationships

Technical Skills
Business: Understanding of credit products
Languages: Python, R, SQL
Database Tools: Hadoop, Teradata, Exadata(Oracle)
Other: Tableau, Jira, Alteryx

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

 Forecast Administration and Analytics employees possess a broad set of skills necessary to evaluate financial risk, produce regulatory reporting and evaluate portfolio risk for emerging, systemic, concentration and idiosyncratic risks.  They collaborate with business partners to identify risk mitigation strategies.  They possess high levels of skill in portfolio analysis, econometrics, financial analysis and data visualization.
As a forecast administrator we are responsible for all loss forecast results that are produced, though your role is not  only ensure an accurate loss forecast but to drive accountability across the organization (e.g. FLU risk ID). To be  successful you must understand the products in your line of business and the risks that lead to economic losses.
 

Successful candidates will have a Masters or PhD in Math, Economics, Statistics, or similar discipline, and a minimum 5 years relevant experience.

Successful candidates will possess the following skills:

• 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
• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• Strong programming skills, e.g. Python, R, or similar language
• Strong analytical and problem-solving skills
The team requires a diversity of thoughts and experiences that are grounded in a core set of competencies with the  ability to connect data points from across the enterprise.
Business acumen and communication
Risk management
Analytical capabilities
Leadership
Building Collaborative Relationships

Technical Skills
Business: Understanding of credit products
Languages: Python, R, SQL
Database Tools: Hadoop, Teradata, Exadata(Oracle)
Other: Tableau, Jira, Alteryx

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21083081

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Jillian Teeter

Referral Bonus:

0