118 applicants
USAA · 2 days ago
Data Scientist Lead - Credit Risk Modeling
San Antonio, TX
Full-time
Onsite
Senior Level
$159K/yr - $286K/yr
8+ years exp
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Responsibilities
Gathers, interprets, and manipulates complex structured and unstructured data for advanced analytical solutions.
Leads advanced analytics using machine learning, simulation, and optimization to deliver business insights.
Guides team on selecting appropriate modeling techniques considering data limitations and business needs.
Develops and deploys models within the Model Development Control and Model Risk Management framework.
Composes technical documents, partners with business leaders, and builds reusable algorithms.
Manages project milestones, risks, and impediments, and maintains best practices for deploying analytical assets.
Interacts with peers to stay updated on cutting-edge techniques and mentors junior staff in modeling and analytics.
Participates in enterprise-level efforts to drive data science technologies and culture.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
Qualification
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Required
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.
8 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 6 years of experience in predictive analytics or data analysis.
6 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.
Expert ability to write 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.
Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation.
Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc.
Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building.
Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.
Preferred
Prior experience in bank retail product modeling and automation.
Hands-on experience with large data modeling in Python and SAS, prior experience with R, are preferred.
Degree in Statistics or Economics, or PhD in Mathematics, Chemistry, Physics, or a relevant field.
Hands-on experience with AI from a large retail bank.
Benefits
Comprehensive medical, dental, and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program with paid holidays and 16 paid volunteer hours
Various wellness programs
Career path planning and continuing education
Company
USAA
USAA is a financial services company.
10,001+ employees
H1B Sponsorship
USAA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (45)
2022 (160)
2021 (29)
Funding
Current Stage
Late StageLeadership Team
Dana Simmons
Executive Vice President, CEO Chief of Staff
Chris Flint
SVP and General Manager, Life and Health Insurance
Recent News
2024-05-17
Coverager - Insurance news and insights
2024-05-01
Company data provided by crunchbase
