Decision Science Analyst - Mid Level

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Decision Science Analyst - Mid-Level, you will get to work with the Credit Card Fraud Analytics Team in USAA's Member Protection organization. They will work with Policy, Modeling, Ops and IT team to build robust fraud mitigation strategies and enhance member experience.

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, or Tampa, FL. Relocation assistance is not available for this position.

What you'll do:

* Leverages 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 solve 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 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 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 Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.

* 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 competency 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:

* 2+ years in Credit card fraud analytics area in financial industry

* 2+ years of experience in coding fraud rules in one of the main rule management systems (Fiserv, SAS Rule Studio, VRM, RSA, Broadcom etc.)

* Analytical experience in Credit Card Rewards Fraud, Wallet Provisioning, E-Commerce and other Point of sale strategies

Compensation range:
The salary range for this position is: $93,770.00 - $.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for…