505 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 field with core quantitative curriculum.
- Four additional years of relevant experience may substitute for a degree.
- A minimum of 6 years of related experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR an advanced degree (e.g., Masters, PhD) in a quantitative field with 4 years of related experience.
- Proficient in communicating complex technical concepts effectively to non-technical audiences, senior leadership, auditors, and/or regulators.
- Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other similar programming languages for model and algorithm development.
- Extensive experience with at least three statistical, econometric, data science, and predictive modeling techniques such as Unsupervised Learning, K-Means, Linear Regression, Time-Series/Forecasting, Stress Testing, Logistic Regression, and Neural Networks.
- Solid understanding of operational and support functions in Banking and/or Insurance, along with corresponding modeling and analytics knowledge.
Responsibilities
- Execute independent model validation control activities for high-risk in-house and vendor models.
- Develop and implement validation testing plans using expert technical methodologies.
- Replicate model development and may create challenger models employing predictive modeling, machine learning, and other advanced techniques.
- Design and execute model testing and data quality assessments utilizing diverse datasets, including large and unstructured data.
- Review and oversee the complete life-cycle management of model development, implementation, ongoing monitoring, and operational processes in Banking and Insurance.
- Evaluate model inherent risk ratings and conduct model change validations across various types of models.
- Supervise and mentor model validation efforts of peers.
- Produce and present validation reports and related documentation to management and stakeholders.
- Align model validation process with established risk and compliance policies and procedures.
- Assess strengths in model risk control surrounding development, implementation, and usage.
Description
At USAA, we are dedicated to supporting our members in achieving financial security through competitive products, outstanding service, and trusted advice. We proudly serve the military community and their families. Our core values of honesty, integrity, loyalty, and service guide our interactions with both our team members and our members. We provide a flexible work environment, requiring presence in the office four days a week at one of our locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. With our comprehensive benefits package, we prioritize the physical, financial, and emotional well-being of our employees, fostering continuous professional growth and development.
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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 505 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, Ironclad TEK Inc., Clarity.ca Inc., Thales, Diploma Healthcare Group, Perri's Corporation among others, are currently hiring for Data roles in the United States.
The company with most openings is USAA as they are hiring for 55 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 55 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.