736 IT & Software Developer jobs in the US
Senior Model Validator - CHARLOTTE
$127,310 - 243,340
USAA
Billy Graham Parkway, CHARLOTTE
$127,310 - 243,340
Requirements
Must:
We require a Bachelor's degree in a quantitative discipline, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a related field with core quantitative coursework. If you do not have a degree, you may substitute it with 4 additional years of relevant experience. You should possess a minimum of 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research. Alternatively, an advanced degree (Master’s or PhD) in a quantitative field along with 4 years of relevant work experience will also be acceptable. Strong programming skills in languages like R, Python, SAS, Java, C, SQL, or similar are essential for model and algorithm development. Extensive experience with at least three statistical, econometric, and predictive modeling techniques is desired. Also, strong business context knowledge in the operational functions of Banking and/or Insurance is critical.
Responsibilities
In this role, you will implement independent model validation control activities for high-risk in-house and vendor models. Your task will involve leveraging your technical expertise to develop and execute validation testing plans. You will replicate model development and may create challenger models using various advanced techniques, including predictive modeling and machine learning. Conducting comprehensive model testing and data quality assessments will be part of your responsibilities, and you will oversee the end-to-end lifecycle of model management, including implementation and ongoing monitoring. Additionally, you will assess model risk ratings, oversee model change validations, and provide guidance and insight into the validation work done by your team. You will be expected to produce and present validation reports to management, stakeholders, and leadership while ensuring compliance with risk and compliance policies.
Description
At our company, we are dedicated to empowering our members to achieve financial security, particularly within the military community and their families. We value honesty, integrity, loyalty, and service, which shapes our interactions with each other and those we serve. We offer a flexible work environment that requires you to be in the office four days a week in one of several locations, including San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL, but note that relocation assistance is not offered for this position. The compensation range for this role is between $127,310 and $243,340 based on experience and market data. We have a comprehensive benefits package that includes medical, dental, and vision plans, a 401(k), life insurance, generous paid time off, and more. We encourage all qualified applicants to apply, as we are committed to equal employment opportunities for all.
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How many Data Engineer jobs are in the United States?
Currently, there are 736 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, Team Glorious, AI (Artificial Intelligence) Incorporated, Asset Inventories Inc., Diploma Healthcare Group, Confidential, ExamWorks among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 138 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 138 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.