Lead a team of Data Scientists to translate business problems into applied statistical, machine learning, simulation, and optimization solutions that drive business value.
Locations (6)
San Antonio, Texas, United States
Plano, Texas, United States
Phoenix, Arizona, United States
Colorado Springs, Colorado, United States
Charlotte, North Carolina, United States
Tampa, Florida, United States
Compensation
Compensation range: The salary range for this position is: $189,370 - $361,950.
Responsibilities
Lead and develop team to build and deploy advanced analytical solutions
Manage project portfolio and communicate progress to senior leadership
Ensure compliance with model risk management policies
Research emerging technologies and drive adoption of advanced analytics
Simplify processes across model development lifecycle
Requirements
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
Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field and 6 years in predictive modeling, model governance, machine learning and large data analysis
Provide financial analysis reports and materials for individual industries and sectors-specific companies, develop models, and collaborate with global colleagues.
Compensation
Expected base pay rates for the role will be between $200,000 and $200,000 per year at the commencement of employment.
Responsibilities
Provide financial analysis reports and materials for individual industries and sectors-specific companies
Analyze industry data to develop an industry-specific vision
Update and create financial models
Analyze emerging trends in an industry or macro-economy
Assess relative stock valuations and review findings with team as well as internal and external clients
Requirements
Master’s in Computational Finance, Financial Engineering, or a related field of study
Executes independent second line of defense model validation activities for high risk in-house and vendor models. Replicates model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques.
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.
Responsibilities
Executes independent second line of defense model validation activities for high risk in-house and vendor models
Leverages expert technical approaches to develop and execute validation testing plans
Replicates model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques
Conducts and develops plans for model testing and data quality assessments for models using various types of datasets
Reviews at an extensive experience level the end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use in areas of Banking and Insurance
Support credit risk analytics activities across model development, independent validation, monitoring, and business reporting.
Conduct data extraction, reconciliation, quality checks, and analytical review using tools such as SQL, SAS, Python, Excel, and PowerPoint.
Translate analytical findings into clear insights and communicate results to model development, validation, business, and risk stakeholders.
Maintain clear documentation of analysis, validation observations, reporting logic, assumptions, and key findings.
Assist in the development and enhancement of IFRS 9 models, including PD, LGD, EAD, expected credit loss, and related risk estimation frameworks.
Requirements
Masters in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.
Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline.
Data collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.
Creating production-ready Python packages for each component of data science pipelines and their deployment together with software engineering team.
Optimizing and customizing Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information retrieval.
Ingesting, preprocessing, and transforming large-scale multilingual data to ensure high-quality inputs for downstream models.
Building AI agentic models integrated with RAG pipelines.
Requirements
Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
The Business and Strategy Analytics team is part of the Intelligence and Data Solutions team, partnering with the Asia Pacific Regional President’s Office to enable Visa internal business units to optimize performance and profitability and make data-driven decisions.
Responsibilities
Driving value from Visa’s unique data assets to strengthen and extend Visa’s impact in the payments landscape for Japan market.
Deliver data science projects that solve Visa’s business objectives.
Draw fact-based insights and make actionable recommendations based on data-driven analysis.
Work with large data sets using quantitative techniques and build complex statistical models that learn from big data.
Provide data visualization to enable business stakeholders to consume information.
Requirements
Post graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics or engineering
Performs all phases of large complex model development, validation, and performance management for various types of projects including data aggregation, model design, model selection, testing, documentation, validation, implementation, and execution.
Compensation
$92,820.00 - $109,200.00
Responsibilities
Performs all phases of large complex model development, validation, and performance management.
Handle data aggregation, model design, model selection, testing, documentation, validation, implementation, and execution.
Interact directly with senior managers requiring advanced levels of presentation and relationship building skills.
Progress to a subject matter expert in one or more areas.
Partner with business leaders to drive value creation through financial and business leadership, develop long‑range scenario models, and provide financial insights to support strategic decision making.
Responsibilities
Manages a team of financial analysts
Provides functional support to business units
Leverages Financial Centers of Expertise
Partners with senior leadership
Prepares and communicates deliverables to senior management and Board of Directors
Requirements
Bachelor’s degree in Business, Finance, Accounting or related field
Nice to have: Master’s degree in Business, Finance, Accounting or related field
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