2154 Quantitative Analyst jobs in Tampa,FL

$143,320-$273,930

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

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

Various wellness programs

Career path planning and continuing education

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.

6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis.

4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.

4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).

Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.

Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.

Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.

Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.

Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.

Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.

Experience guiding and mentoring junior technical staff in business interactions and model building.

Individuals residing within a 60-mile radius of a USAA office will be expected to work on-site.

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.).

Medium or large bank experience.

Strong knowledge of Python and/or SAS.

Control partner collaboration experience.

Knowledge of Model Risk Management, Model Governance, and Regulatory requirements.

Medical/Dental/Vision Insurance

Health Savings Accounts and Flexible Spending Accounts

Life and AD&D; Insurance, critical illness, hospital indemnity, and accident insurance

Short-term disability and long-term disability

Pet Insurance

Legal Benefits

401(k) Savings Plan with Company Match

12 Paid Holidays

Vacation Days and Paid Sick Time Off Days

Well-being Benefit

Discount and Total Reward Programs

3+ years of excellent SAP experience

Project execution

MRP, Material Planning and Order Management skills

Advanced excel and reporting skills

3 – 5 years experience working in Supply Chain analysis

Continuously sitting for prolonged periods, as the job is administrative in nature.

Power BI (or similar) experience preferred

BA/BS in Business or Supply Chain preferred

Prior experience in food/ beverage manufacturing, sourcing, or supply chain highly desirable.

Lean Six Sigma experience preferred