Sr. IT Auditor

Sr. IT Auditor

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 primary function of the IT, Data & Advanced Analytics Sr. Auditor role is to execute complex audit testing, with focus on data risk and the use of advanced analytics tools, as part of internal audit reviews and activities and provide support to less experienced team members. The Sr. Auditor must perform testing in a timely manner, ensuring all audit quality and client relation standards are met, and courteous and professional behavior is observed in all situations. This role combines auditing principles with data science skills to assess risks and detect anomalies.

Internal Audit serves as the third line of defense, providing the Board Audit & Board Risk Committees and senior management with independent assurance on the quality and effectiveness of internal controls, risk management (current or emerging), governance processes and systems, and lending units (overall asset quality, risk and compliance processes, underwriting policies, procedures, limits, concentrations), thereby helping to protect the company’s value, solvency and reputation. To such ends, Internal Audit evaluates: the effectiveness and efficiency of these processes and systems; compliance with applicable laws and regulations, and with the requirements from supervisors; the reliability and integrity of financial and operational information; and asset integrity.

USA Job Function Description: Provide assurance on the quality and effectiveness of internal control, risk management (current or emerging) and governance processes and systems in the IT Risk space. 

 
Essential Functions/Responsibility Statements:

Develops a solid understanding of IT and business processes by serving as a reliable resource in data risk.

Delivers high quality audit tests solutions following relevant audit standards and allow for deeper auditing.

Establishes and takes accountability towards meeting deadlines and milestones.

Designs, develops and execute data-driven complex audit tests using Python, SQL or other analytical tools over various risk areas as part of internal audit reviews and activities.

Identifies issues, assesses risk and presents results clearly and concisely and display a capability to discuss analytical and data risk concepts coherently.

Conducts post-audit basic follow-up to appraise adequacy of corrective action taken by management to address audit recommendations.

Documents audit testing and follow-up tasks in accordance with relevant audit standards.
Attends professional training actions provided by the company.

Evaluate control effectiveness through data analytics-driven tests.
Provides consistent quality service to both internal and external stakeholders that meets the company’s standards.

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: Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Req
Master's Degree Data Science, Data Analysis, Operational Research, Decision Management or equivalent quantitative field. Pref

Work Experience:
3+ Years Data mining/advanced analytics applied to large-scale data-intensive projects. Req

Skills and Abilities:
Demonstrated experience with advanced statistical packages and software.
Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases.
Strong modeling and data manipulation skills.
Strong written and verbal communication skills.
Strong programming cap