Investment Data Scientist Senior

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.

The Opportunity

As a dedicated Investment Data Scientist - Senior you will work with the Data Science Team in USAAs Finance department. Their responsibilities will include working with investment risk models (Valuation Performance Attribution VaR CECL) investment data management external asset manager relations and investment operational risk & processes. Additionally they will support USAAs Chief Investment Office with investment analysis.

Translates business problems into applied statistical machine learning simulation and optimization solutions to inform actionable business insights and drive business value through automation revenue generation and expense and risk collaboration with engineering partners delivers solutions at scale and enables customer-facing applications. Leverages database cloud and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAAs tooling expanding the companys library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.

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

What youll do:

• Gathers interprets and manipulates structured and unstructured data to enable advanced analytical solutions for the business.

• Develops scalable automated solutions using machine learning simulation and optimization to deliver business insights and business value.

• Selects the appropriate modeling technique and/or technology with consideration to data limitations application and business needs.

• Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.

• Composes and assists peers with composing technical documents for knowledge persistence risk management and technical review audiences.

• Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.

• Builds and maintains a robust library of reusable production-quality algorithms and supporting code to ensure model development and research efforts are visible and based on the highest quality data.

• Translates complex business request(s) into specific analytical questions completes the analysis and/or modeling and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.

• Handles project landmarks risks and impediments. Calls out potential issues that could limit project success or implementation.

• Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling procedures and model risk management standards.

• Maintains expertise and awareness of pioneering techniques. Actively seeks opportunities and materials to learn new techniques technologies and methodologies.

• Serves as a mentor to junior data scientists in modeling analytics and computer science tasks.

• Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.

• 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:

• Bachelors degree in mathematics computer science statistics economics finance actuarial sciences science and engineering or other similar quantitative field; 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. Masters PhD) in mathematics computer science statistics economics finance actuarial sciences science and engineering or other similar quantitative field 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.

• Validated experience writing code that is easy to follow well documented and commented where necessary to explain logic (high code visibility).

• 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.

• Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

What sets you apart:

• MS in Financial Engineering

• 5 Years of Investment Modeling & Operations Experience

• Experience with Aladdin BlackRock

• Experience with Investment Data Analytics

• Strong knowledge of Python Snowflake SQL Dashboard Reporting

Compensation range: The salary range for this position is: $143320.00 - $273930.00.

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 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.

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

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.

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 visit our benefits page on .

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 Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.