Risk Model Validation Associate - GenAI & Machine Learning

Risk Model Validation Associate - GenAI & Machine Learning Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Risk Model Validation Associate conducts robust validations of a wide variety of risk models against established standards, develops benchmarks, and challenges and replicates models where applicable. Manages models of advanced complexity and leads special projects and/or programs. Reviews and assesses overall model health within a given framework, identifies potential problems and works with stakeholders to resolve. Conducts robust validations of a wide variety of models against established standards, develops benchmarks, challenges, and replicates models where applicable. Assesses model performance and evaluates model assumptions and weaknesses. Collaborates with model owners and develops to understand the business context for models. Ensures adherence to the policies and procedures established by the company. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree or equivalent work experience. - Required Master’s Degree or higher in Statistics, Mathematics, Engineering, Computer Science, Economics, or related fields. - Preferred 5 years of experience developing or validating quantitative machine learning (ML) models or Large Language Models (LLMs) frameworks. - Required Experience in the financial services industry, including expertise in risk modeling and regulatory compliance (SR 11-7). - Preferred AI/ML Expertise: Demonstrated experience with Artificial Intelligence and Machine Learning (AI/ML) frameworks such as TensorFlow, PyTorch and Scikit-learn. Hands-on experience with gradient boosting models, NN and other ML algorithms for classification and regression. LLM Knowledge: Experience with LLMs framework including model’s architecture, methodology, implementation, APIs, and evaluation, with working knowledge of prompt-tuning and RAG/fine-tuning LLMs applications. Leaderboards review. Experience with Hugging Face models and datasets, and testing design and execution for GenAI risks such as hallucination, accuracy, toxicity, prompt injection, bias etc. Programming skills: Proficiency in Python and R. Experience in cloud-based solutions (AWS, Azure) is a plus. Excellent organizational skills, strong communication, with the ability to work cross-functionally with model developers, data engineers, technology, and governance teams. Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions : Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required . Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : Review the internal eligibility guidelines here . If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at TAOps@santander.us to discuss your needs. Primary Location: Boston, MA, Boston Other Locations: Massachusetts-Boston,Texas-Dallas,New York-New York Organization: Santander Holdings USA, Inc. Salary: $90,000 - $165,000/year

Location: Prince, NY, US

Posted Date: 5/2/2025