San Antonio, TX

Decision Science Analyst I - AML

Decision Science Analyst I - AML (Remote Work Location Available)

Location San Antonio, Texas Secondary Locations San Antonio,Texas,; Job ID R0054097 Date posted 11/14/2020

Purpose of Job

We are seeking a talented AML Decision Science Analyst for the San Antonio office or Remote Work Location Available

Positioned in the first line of defense to ensure the overall effectiveness on first line of defense risk analytics and operations in the business. This role will partner and collaborate with Compliance and Risk Management, as well as Business Operations, IT, Audit Services, and Regulators to support risk and compliance-based analytic initiatives.

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 drive 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.

Job Requirements

  • Leverages business/analytical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
  • The business problems analyzed 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 effectively 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 gathers 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.
  • Subsequent analysts should be able to rely on documentation to replicate and continue work.
  • 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.
  • Recommendations typically have an impact on business results.

Minimum Requirements:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline.
    (4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.)
    A Master's Degree in quantitative analytics or a related field
    A PhD in quantitative analytics or a related field
  • If Bachelor's degree, 4 or more years experience in a decision support analytic function.
    If Master's Degree, 2 or more years experience in a decision support analytic function.
    If PhD, 1 or more years experience in a decision support analytic function
  • Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Successful completion of a job related assessment may be required.

*Qualifications may warrant placement in a different job level*

When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not able to change your responses.


  • 2 or more years of AML, Fraud or Enterprise data experience.
  • 4 or more years of experience working with SAS, SQL, R, Python, Tableau or other analysis software
  • 4 or more years of experience working with data visualization tools such as Tableau and/or Business Object 
  • Ability to translate business needs to technical requirements for agile execution.
  • Ability to work on multiple projects in a fast-paced environment with limited supervision. 
  • Strong relationship management and negotiation skills; ability to influence senior leadership and drive business results.

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.

At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs.  Additionally, our career path planning and continuing education will assist you with your professional goals.

USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers.

Relocation assistance is not available for this position.

For Internal Candidates:

Must complete 12 months in current position (from date of hire or date of placement), or must have manager’s approval prior to posting.

Last day for internal candidates to apply to the opening is 11/19/20 by 11:59 pm CST time.

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San Antonio, TX

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