730 IT & Software Developer jobs in the US

Senior Model Validator - SAN ANTONIO
$127,310 - 243,340
USAA
Fredericksburg Road 9800, SAN ANTONIO
$127,310 - 243,340
Requirements
Must:
I am looking for a candidate with 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 a core quantitative curriculum. Alternatively, I will consider a candidate with an additional four years of relevant experience in place of a degree. The ideal applicant should have a minimum of 6 years of related professional experience in model validation, model development, statistical analysis, and/or advanced quantitative research, or hold an advanced degree (e.g., Master's, PhD) in a quantitative field along with four years of related work experience. I value experience in communicating quantitative and technical concepts effectively, both in writing and verbally, to non-technical audiences, senior leadership, auditors, and regulators. Proficiency in programming languages such as R, Python, SAS, Java, C, SQL, or comparable languages for model development is essential. I expect extensive experience with at least three statistical, econometric, data science, and predictive modeling techniques, as well as strong knowledge of banking and insurance operational contexts.
Responsibilities
In this role, I seek a skilled professional to implement independent model validation control activities for both high-risk internal and vendor models. You will utilize expert technical methods to design and execute validation testing plans. Your tasks will include replicating model development and potentially creating challenger models using various advanced modeling techniques. You will conduct comprehensive model testing and assess data quality across different datasets, including large and unstructured datasets. I will need you to review the entire lifecycle management of model development and implementation in banking and insurance, focusing on ongoing monitoring and usage. Additionally, you will evaluate model risk ratings, model changes, and oversee the validation work of peers, producing and delivering validation reports to management and senior leadership. You will also ensure the model validation process aligns with the established risk and compliance policies and continuously evaluate model risk control strengths.
Description
At my organization, I am committed to empowering our members to achieve financial security through competitive products and exceptional service. I value honesty, integrity, loyalty, and service as the core principles that guide our interactions. I offer a flexible work environment, requiring in-office attendance four days a week in locations including San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL; please note that relocation assistance is not available. The compensation range for this position is between $127,310.00 - $243,340.00, and it is important to clarify that we do not provide visa sponsorship. I take pride in offering my employees best-in-class benefits, including comprehensive medical, dental, vision plans, 401(k), and various wellness programs to support their overall well-being. I encourage interested candidates to apply promptly, as applications will be accepted until the position is filled. My company is an Equal Opportunity Employer, committed to considering all qualified applicants without bias.
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Which companies are hiring for Data Engineer jobs in the United States?
bunny.net, AI (Artificial Intelligence) Incorporated, Diploma Healthcare Group, Team Glorious, Asset Inventories Inc., Confidential, Fantasy Productions among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 135 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 135 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.