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Decision Science Analyst I – P&C Actuarial Reserving

fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
90 - 162K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
Texas (USA), Virginia (USA), United States

Offer summary

Qualifications:

Bachelor's degree in quantitative analytics field or 4 years related experience., 4 years of experience in data/analytics or finance-related industry., Proficiency in mathematical and statistical techniques., Experience with SQL, SAS, and BI tools..

Key responsabilities:

  • Support the Claims organization with data analysis.
  • Apply analytical techniques to influence business strategy.
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USAA Financial Services XLarge http://www.usaajobs.com
10001 Employees
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Job 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 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, or Tampa, FL. Relocation assistance is not available for this position.

The candidate selected for this position will work on the Auto Injury/Litigation Claims Analytics team. They will support the Claim organization as well as working with groups such as Actuarial Reserving, Pricing, Data Science, etc. The team uses a variety of tools including Snowflake, Python, Tableau and Excel.

Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and motivate change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

What you’ll do:
  • Demonstrates intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.

  • Applies advanced analytical techniques to tackle business problems that are typically medium to large scale with impact to current and/or future business strategy.

  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

  • Translates recommendation into communication materials to optimally present to colleagues for peer review and mid-to-upper-level management.

  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

  • Identifies and captures the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.

  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

  • Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.

  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:
  • Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

  • 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).

  • Demonstrates proficiency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

  • Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

What sets you apart:
  • Property & Casualty Actuarial Reserving experience.

  • Experience with P&C Claim analytics.

  • Technical experience using Snowflake and/or Python.

  • Industry related experience in Auto Injury and Litigation.

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: $89,990 - $161,990.

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 and affirmative action employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, national origin, age, disability, genetic information, protected veteran status, or any other legally protected characteristic.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Microsoft Excel
  • Critical Thinking
  • Collaboration
  • Communication
  • Problem Solving

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