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Data Scientist

Company: Wells Fargo
Location: Charlotte
Posted on: June 15, 2019

Job Description:

Job Description

At Wells Fargo, we want to satisfy our customers financial needs and help them succeed financially. Were looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where youll feel valued and inspired to contribute your unique skills and experience. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Audit Services conducts audits and reports the results of our work to the Audit & Examinations Committee of the Board of Directors. We provide independent, objective assurance and consulting services delivered through a highly competent and diverse team. As a business partner, Audit Services helps the Company accomplish its objectives by bringing a systematic, disciplined approach to evaluate and improve the effectiveness of risk management, control, and governance processes.Wells Fargo Audit has an exciting opportunity for an Audit Analytics Leader 3 - Data Scientist on the Shared Services Audit Team. The Shared Services Audit Team (SSAT), led by an Executive Audit Director, facilitates a centralized, internal service provider model for supporting audit work across Audit. SSAT is comprised of three dynamic teams, which provide traditional audit testing, centralized data analytics work, and specialized audit services across WFAS. Specifically, the three teams include a centralized Data Innovation & Analytics (DI&A) team, an Enterprise Testing & Analytics team, and a combined international team located in India. The Data Scientist will be responsible for supporting the development, implementation, and execution of advanced analytic capabilities across the broader Shared Services Audit Team. The candidate will develop expertise in navigating the extensive production and analytical data environments within Wells Fargo and apply that expertise to provide value-added data analysis solutions to the various audit teams. We are looking for a candidate with data analytics experience with the proven ability to utilize data analysis methodologies and tools to increase the efficiency and effectiveness of the audit process. This includes partnering with internal auditors to identify opportunities to utilize data analysis in evaluating the adequacy and effectiveness of internal controls. The candidate must have a broad base of experience working with advanced analytics and partnering with management on natural language processing and machine learning. Ideal candidate has prior experience with the use of predictive or exploratory data analytics. Candidates should be results driven, detail-oriented, demonstrate strategic thinking and creativity. Must be intellectually curious, analytically rigorous, hard-working and use a practical common-sense approach to address issues. The candidate must be capable of initiating action and managing change in a fast paced environment. A successful candidate will have strong relationship management, influencing, organizational and execution skills; communicate effectively and ensure that all deliverables are met.

Specifically, a successful candidate will:

  • Lead data-specific projects and work along with 1-3 other data analysis professionals;
  • Partner with audit teams to build expertise in the use of data analytics, robotics, and automation within the internal audit function;
  • Use strategic and critical thinking skills to develop the identification of opportunities to utilize data analysis and automation in the assessment of risk and controls and other operational processes;
  • Be a critical thinker with an innovative mindset, coupled with a track record for creating solutions that are efficient, effective, and essential
  • Have strong communication and presentation skills; written, verbal and the ability to influence and persuade; using an array of tools to tell the insight story tools
  • Navigate within technology environments to locate, validate, extract, and format data for data analysis testing;
  • Review documentation for the analysis in accordance with audit policy, and reporting and automation framework;
  • Train and mentor team members in the use of data analysis and data analysis tools;
  • Develop data-driven analytics capabilities to identify anomalies, outliers, emerging trends and operational risks across the Enterprise;
  • Leverage various analytic techniques to extract value and insights from unstructured risk data;
  • Assist peer stakeholders with risk management strategy development to identify emerging trends, risks, etc.;
  • Work collaboratively with multiple stakeholders and lead multiple work assignments with high standards in a fast-paced environment
  • Responsible for performing highly complex activities related to business analysis and/or modeling;
  • Synthesize data, develop insights, and identify and translate technical findings into actionable recommendations through easy to digest communication, presentations and reports Experienced with data visualization tools
  • Responsible for senior-level consulting partnerships including delivery of findings and recommendations;
  • Demonstrate experience in building partnerships, collaborating and influencing at senior levels and across lines of business as well as with corporate partners.
  • Responsible for business requirements gathering, solution proposal, internal clients buy-in, data reception and processing, data analyses and modeling, reports/presentations, results review with stakeholders, and implementation support
  • Operationalize insights through development of dashboards, tools, and processes
  • Partner with internal auditors to understand their analytical and reporting needs: translating those needs into concrete technical requirements; work closely with internal teams, using data to elevate risk assessment and assurance capabilities
  • Develop and leverage partnerships with peer internal data science, data governance, and information technology groups as necessary to promote the data science discipline and develop solutions
  • Lead analytical innovation efforts to test and recommend new advanced analytical methods, software and data sources.

    Required Qualifications

    • 6+ years of analytics experience, audit experience, or a combination of both
    • 4+ years of SQL experience

      Desired Qualifications

      • A BS/BA degree or higher in accounting, finance, or business administration
      • Certification in one or more of the following: CPA, CAMS, CRCM, CIA, CISA or Commissioned Bank Examiner designation
      • Audit experience at a large financial institution
      • Ability to develop operational reporting and performing complex data analysis
      • Ability to lead projects/initiatives with high risk and complexity
      • Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
      • Excellent verbal, written, and interpersonal communication skills
      • Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives
      • Ability to provide leadership by coaching, training, and mentoring

        Other Desired Qualifications

        • Computer Science (B.A., or higher) [Concentration in Financial Services Informatics, AI, Robotics, Data Science, Software, Systems]
        • Experience with Natural Language Processing (NLP)
        • Working knowledge or experience with automation, machine learning, artificial intelligence, and predictive or exploratory data analytics
        • Understanding Data Mining and Web Scraping Fundamentals
        • Demonstrated understanding and practical application of statistics or and quantitative science using tools such as Python, R, Tableau, and / or SASBig Data Technology experience (Hadoop, Hive, etc.)
        • Management Information Systems (B.A., or higher) [Concentration in Management Information Systems; Business Intelligence and Analytics; Systems Analysis]
        • Certifications in analytics space:

          -SAS Certified Big Data Professional

          -SAS Certified Data Scientist

          -Certification of Professional Achievement in Data Sciences

          -Certified Analytics Professional

          -Data Mining and Applications Graduate Certificate (university specific)

          • Certification in one or more of the following: CPA, CAMS, CRCM, CIA, CISA or Commissioned Bank Examiner designation
          • Advanced scripting experience using Unix Shell Scripting, Perl, Python, Java, or PL-SQL
          • Tableau experience including executive presentation and delivery
          • Proficiency with other programming languages and tools (Visual Basic, SQL Server Management Studio, SQL Server Reporting Service, etc.
          • Working experience of Statistics and Probability
          • Demonstrated progression of utilizing new tools and techniques and knowledge of the audit process

            Job Expectations

            • Ability to travel up to 10% of the time

              DisclaimerAll offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

              Relevant military experience is considered for veterans and transitioning service men and women.

              Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

Keywords: Wells Fargo, Charlotte , Data Scientist, Accounting, Auditing , Charlotte, North Carolina

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