Sr. Specialist, Data Science

Sr. Specialist, Data Science

Country: United States of America

The primary function of the IT, Data & Advanced Analytics Sr. Specialist, Data Science 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.
 

Qualifications: 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 capability; ability to solve problems through programming and simulation.
Strong understanding of statistical tools and their application to business, as well as principles of cost/benefit analysis, risk management, marketing, collections and operations.
Proficient with the use of advanced statistical analysis software and applications (SAS, R, Python, SQL programming, etc.)
Ability to read, interpret and explain complex statistical theories and practices to a wide audience of varying technical capability.
Ability to multitask and properly prioritize multiple projects simultaneously.
Ability to prioritize according to the strategic direction of the organization.
Ability to meet deadlines and follow through on the completion of high-profile projects and initiatives.
Technical aptitude with strong logical, problem solving and decision-making skills.
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. Occasional moving and lifting equipment and furniture is required to support onsite and offsite meeting setup and teardown. Physically capable of lifting up to fifty pounds, able to bend, kneel, climb ladders.
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 at any time for any reason.

$84,375.00 USD

$140,000.00 USD