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Sr. Associate, Data and Advanced Analytics Audit

Company: Santander Bank
Location: Boston
Posted on: June 12, 2021

Job Description:

Apply Req ID: 2102121 Date posted 05/05/2021

Position Overview

The Santander Bank IA & CRR Data & Advanced Analytics team supports all other US audit and credit risk review teams in successfully employing the use of advanced data analytics in audits.

The position of Senior Associate, Data Science plays a key senior role in contributing to the execution of the advanced analytics and will conduct audits within our Data & Advanced Analytics audit team, which is responsible for audit coverage of data management and data risk audit coverage strategy for Internal Audit. This role will work directly with the Manager to provide Subject Matter Expertise and lead the team's continued enhancement of advanced analytics and data management audit strategies and tactics.

The successful candidate will be an Advanced Analytics evangelist and bringing their innovation, critical thinking, influencing, industry and functional expertise while leveraging advanced analytics to drive successful audits.


  • Executes a robust Data Management audit plan by reviewable entity, that provides thorough, risk based coverage (including issue validation for regulatory and audit issues) for addressing Data Management risks in accordance with Santander US Internal Audit standards, relevant government statutes and regulations and Santander US policies.
  • Executes independent assessments of end-to-end Data Traceability, providing assurance over accuracy of critical data in key regulatory and management reports.
  • Execute advanced analytics through direct participation in all phases of audits (i.e., business monitoring, planning, fieldwork, reporting) for different business risk areas.
  • Partners with business and audit teams to gather and process data, provides feedback on patterns and insights based on detailed advanced data analysis.
  • Conducts data exploration, hypothesis creation, algorithm testing, and scaling to large datasets.
  • Performs large-scale data mining and data science projects as well as ad hoc statistical and data mining analyses.
  • Researches and develops predictive analytics for continuous auditing of business processes using problem sets based on structured and unstructured data.
  • Serves as lead developer of complex technical coding, and as technical reviewer for junior members.
  • Recommending appropriate and pragmatic solutions to risk and control issues.
  • Presents results of analyses to business teams, explain technical and statistical concepts to non-technical/non-statistical associates and vice-versa.

At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We encourage everyone to apply.


  • Typically has 7 to 9+ years of experience performing predictive analytics, statistical and/or modeling using data analytics tools like SAS, SQL, R, Python and/or internal controls, and/or external/internal financial audit
  • Bachelor's Degree in Data Science, Management Information Systems, Computer Science, Engineering, Statistics, Mathematics, or related study
  • Demonstrated experience with any and all of the following: credit decision engine packages, statistical techniques, statistics software packages, small business/commercial risk assessment, retail and wholesale capital calculations, and data mining techniques.
  • Demonstrated leadership experience and ability to work independently.
  • Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development.
  • Strong analytics background with attention to details to deliver quality results.
  • Ability to conceptualize and execute analytical work based on broad business objectives.
  • Ability to accept and meet deadlines, involving effective time management capacity.
  • Ability to quickly learn new tools and understand new areas of data.
  • A passion for detail, accuracy, reliability and speed coupled with desire for data exploration to reveal deeper insights, business process improvement opportunities and areas of potential risk
  • Ability to analyze large, complex data sets in order to identify common themes and solutions
  • Inquisitive nature, resourceful, and an ability to seek out information
  • Understanding of data reconciliation requirements, including the identification, evaluation, and resolution of data anomalies
  • High degree of customer orientation, and excellent communication skills to connect with people and management styles across different cultures and communicate technical IT / data topics to non-technical personnel
  • Ability to demonstrate understanding of data governance concepts
  • Practical experience with data extraction and analytics tools and application across the audit lifecycle

Preferred Skills

  • At least 3 to 5 years of progressive experience in Internal Audit
  • Certified in SAS, Python, Tableau or any other programming experience
  • Proficiency in statistical data analysis or modeling languages (SAS, R, Python, Spark, etc.)
  • Experience using data visualization tools (Excel, SAS Visual Analytics, Tableau, PowerBI, Qlik, etc.)
  • CISA, CDMP certifications or interest in obtaining a certification in one of these disciplines
  • Experience working with data warehousing.
  • Experience working with multi-located teams.
  • A passion for data

Primary Location: Boston, Massachusetts, United States

Other Locations: Massachusetts-Boston

Organization: Santander Bank, N.A.

Keywords: Santander Bank, Boston , Sr. Associate, Data and Advanced Analytics Audit, Other , Boston, Massachusetts

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