Risk Modeling & Data Governance Associate

Risk Modeling & Data Governance AssociateCountry: United States of America

It Starts Here:

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities We Want to Talk to You!

The Difference You Make:
The Risk Modeling & Data Governance Associate serves as a subject matter expert in designing and implementing end-to-end data governance frameworks for key reporting and business processes, partnering with business leaders to ensure data quality and timely delivery. The role also performs independent challenge and validation of complex risk models in accordance with Data Management and Model Validation standards, including benchmark development, challenger analysis, and replication testing, while supporting special projects as needed.

Position Summary

• Identify, document, and assess model data inputs to evaluate completeness, consistency, lineage, and the effectiveness of controls supporting model use.

• Define, document, and execute data validation requirements for model validation activities, including scope, control design, testing approaches, and evidentiary standards.

• Perform independent, end-to-end validation of statistical, machine learning, and Generative AI models in alignment with internal governance frameworks and regulatory expectations.

• Develop and execute benchmarks, challenger models, and replication analyses to assess model soundness, stability, and performance.

• Evaluate model assumptions, limitations, monitoring results, and performance metrics, documenting findings, conclusions, and remediation recommendations.

• Assess overall model health and compliance with data and model risk management policies, proactively identifying risks, issues, and control gaps.

• Partner with model owners, developers, and business stakeholders to understand model design, intended use, and business context while providing effective challenge.

• Support ongoing governance initiatives and special projects related to data quality, model risk, and regulatory readiness as needed.

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.

Education

• Bachelor’s Degree or equivalent work experience – Required.

• Master’s Degree or higher in Statistics, Mathematics, Engineering, Computer Science, Economics, or a related field – Preferred.

Experience

• + years of experience working with statistical models, developing, and/or validating machine learning or Generative AI solutions, including rigorous testing and documentation – Required.

• Quantitative or analytical professional background in Finance, Economics, Statistics, Mathematics, Engineering, or a related discipline – Required.

• Experience in the financial services industry with exposure to data management, risk modeling, and regulatory compliance (e.g., BCBS , SR -) – Required.

• Prior consulting, advisory, or second-line oversight experience within data governance, model validation, or risk analytics environments – Preferred.

Hard Skills

• Knowledge of machine learning models, including development, validation, performance testing, and monitoring techniques.

• Generative AI expertise, including evaluation of LLM architectures, design decisions, implementation approaches, and associated risks such as hallucinations, bias, and toxicity.

• Hands-on experience with Retrieval-Augmented Generation (RAG) systems, including document ingestion, chunking strategies, embeddings, retrieval techniques, orchestration frameworks, and response grounding.

• Hands-on experience with AWS-native services such as Bedrock, Lambda, API Gateway, S, IAM, CloudWatch, and MLOps or LLMOps capabilities.

• Strong Python proficiency for data manipulation, validation, automation of controls, and development of reproducible, well-documented scripts using version control.

• SQL proficiency, including data extraction, joins, aggregation, reconciliation, and validation across multiple data sources.

• Experience using Power BI to develop dashboards that visualize data quality metrics, trends, and validation outcomes.

• Demonstrated ability to operate effectively within a controlled, regulated environment with strong documentation standards and a risk-and-controls mindset.

Soft Skills

• Proven ability to communicate complex technical, data, and model risk concepts clearly to non-technical governance and risk stakeholders.

• Strong analytical and critical thinking skills with the ability to independently challenge model assumptions and conclusions.

• Effective written and verbal communication skills, particularly in documenting and explaining complex technical and governance topics.

• Collaborative mindset with the ability to partner effectively with technical teams and business stakeholders.

• High attention to detail and a strong commitment to quality, accuracy, and governance standards.

Certifications:

• No Certifications listed for this job.

It Would Be Nice For You To Have:

• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

• Experience in Microsoft Office products.

What Else You Need To Know:

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a -hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range:

Minimum:

$,. USD

Maximum:

$,. USD

We Value Your Impact:

Your contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future.

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: