Quantitative Solutions Developer
2 weeks ago
About USAA:
USAA is a leading financial services organization dedicated to facilitating the financial security of its members, associates, and their families. Our mission is to provide highly competitive financial products and services that meet the unique needs of our military community. We are committed to upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty, and integrity.
This is an exciting opportunity to join our team as a Lead Data Scientist, where you will play a key role in developing and implementing quantitative solutions to improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. As a member of our team, you will work closely with cross-functional teams to identify business needs and develop actionable insights to drive business value.
Key Responsibilities:- Develop and deploy machine learning models to predict and prevent fraud
- Collaborate with data engineers to design and implement data pipelines and architectures
- Work with business stakeholders to understand their needs and develop solutions to address them
- Stay up-to-date with the latest trends and technologies in data science and apply them to drive business value
What You'll Need:
To succeed in this role, you will need a strong background in data science, including experience with machine learning, statistics, and programming languages such as Python or R. You should also have excellent communication and collaboration skills, as well as the ability to work effectively in a fast-paced environment.
- Estimated salary range: $158,960 - $286,130 per year
- A comprehensive benefits package, including medical, dental, and vision insurance
- A 401(k) plan with company match
- Paid time off and holidays
- Opportunities for professional growth and development
At USAA, we are committed to creating a workplace culture that is inclusive, diverse, and respectful. We strive to attract and retain top talent from a wide range of backgrounds and experiences. If you are passionate about data science and want to make a difference in the world of finance, we encourage you to apply for this exciting opportunity.
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