572 IT & Software Developer jobs in the US
Requirements
Must:
- Bachelors degree in a quantitative discipline such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a related area with a Core Quantitative Curriculum. (Alternatively, 4 additional years of relevant experience may replace a degree).
- At least 6 years of relevant experience in model validation, model development, statistical analysis, and/or advanced quantitative research, or an advanced degree (Masters or PhD) with 4 years of relevant work experience.
- Proven ability to communicate quantitative and technical concepts effectively to non-technical stakeholders, senior leaders, auditors, and regulators.
- Proficient programming abilities in R, Python, SAS, Java, C, SQL, or equivalent languages for developing models and algorithms, including model specifications and testing.
- Extensive familiarity with at least three quantitative modeling techniques such as Unsupervised Learning, K-Means, Linear Regression, Time-Series Forecasting, Stress Testing, Logistic Regression, Gaussian Processes, Simulation Models, Boosting/Bagging Trees, Neural Networks, Deep Learning, or Bayesian Estimators.
- Strong understanding of the operational and support functions in Banking and/or Insurance, along with relevant modeling and analytics knowledge.
Responsibilities
- Execute independent validation procedures for high-risk in-house and vendor models.
- Utilize expert technical knowledge to design and apply model validation testing strategies.
- Replicate model development and create challenger models using various advanced techniques like predictive modeling and machine learning.
- Formulate and execute model testing and data quality evaluations for different types of datasets, including large and unstructured ones.
- Review the end-to-end management of model development, implementation, monitoring, and application within Banking and Insurance sectors.
- Evaluate inherent risk ratings, model declassification, and perform validations for model changes across various types of models.
- Oversee and guide the model validation efforts of team members.
- Prepare and present validation findings and reports to validation management and senior leadership.
- Ensure alignment of the model validation process with established risk and compliance standards.
- Assess model risk control measures related to development, implementation, and usage.
- Engage in continuous professional development regarding new modeling techniques and methodologies.
Description
At USAA, we are dedicated to empowering our members towards financial stability through outstanding products, superior service, and reliable guidance. Our core values of honesty, integrity, loyalty, and service shape our interactions with each other and our members. We offer a rewarding career path in a flexible environment, with employees expected to work in the office four days a week in locations such as San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. We provide comprehensive benefits including healthcare plans, retirement options, generous leave policies, and support for professional development. Join us and become part of an organization that truly values its mission and its people.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 572 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
bunny.net, Murmuration, Diploma Healthcare Group, Perri's Corporation, Clarity.ca Inc., Thales, Parc Safari among others, are currently hiring for Data roles in the United States.
The company with most openings is USAA as they are hiring for 50 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is USAA as they are hiring for 50 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.