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Economist / Quantitative Risk Analyst Senior job in San Antonio

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San Antonio, Texas - TX United Services Automobile Association

Job Ref:  R0098413
Employer:  United Services Automobile Association
Sector:  Banking & Finance
P&C/General Insurance/Non-Life
Qualifications:  Unclassified
Software:  Python
Tableau
Job Type:  Full Time
Salary and Benefits:  $109,130 - $208,580 per year
Remote:  No

Location

Country:  United States
State/Province/County:  Texas - TX
City:  San Antonio
Post Code:  78288
Map: 

Description

Why USAA?
At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members.

We believe in our core values of honesty, integrity, loyalty and service. They're what guides everything we do - from how we treat our members to how we treat each other. Come be a part of what makes us so special!

The Opportunity

We are looking for an Economist - Quantitative Risk Analyst Senior with a keen eye for macroeconomic analysis, economic forecasting, and scenario design. The ideal candidate will have a deep understanding of advanced statistical software, such as large-scale macro econometric models, Tableau, and Python.

In addition to possessing practical experience with these tools, the right candidate should have a strong background in model validation or development, and the production of model-related reports. Experience with analytics and industry methodology to assess risks relevant to the financial industry is also highly valued.

If you're an Economist with a passion for forecasting, finding trends and a track record of success in these areas, we encourage you to apply

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL.

Relocation assistance is not available for this position.

What you'll do:
  • Applies analytics to assess future risk, opportunities, and efficiency and translates results into significant solutions to improve decision making.
  • Applies industry knowledge and industry standard methodologies to quantify risk and aggregate exposures.
  • Engages in model validation and produces model validation reports.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and motivate change.
  • Translates recommendations into communication materials to optimally present to colleagues for peer review and management.
  • Applies industry knowledge to produce analytical material for discussions with cross functional teams to understand sophisticated business objectives and influence solution strategies.
  • Provides mentorship to other team members in the peer review process.


What you have:
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative field.
  • 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
  • 6 years related quantitative analysis experience in a field relevant to risk management to include statistical analysis, modeling, mathematics or other quantitative field.
  • OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, or other quantitative field and 4 years work experience in a quantitative field relevant to risk management.
  • OR PhD in Economics, Finance, Statistics, Mathematics, or other quantitative field and up to 2 years work experience in a quantitative field relevant to risk management.


What sets you apart:
  • Advanced degree experience in Economics (Preferred)
  • Experience in macroeconomic analysis, economic forecasting, and scenario design
  • Deep knowledge, practical experience, and understanding of advanced statistical software / coding, such as large-scale macro-econometric models, Tableau, and Python
  • Experience with detailed analytics and industry standard methodology to assess risks relevant to financial industry
  • Background in model validation or model development and the production of model-related reports (Preferred)
  • Leadership skills needed for peer and team member mentorship


The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

What we offer:

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $109,130 - $208,580.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
ref: (R0098413)
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