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Tier-1 brand, mid-level data generalist with broad analytics skills increases candidate competition.
Role requires auditing, regulatory and finance domain expertise, limiting cross-industry transferability.
Explicit 5+ years and technical analytics requirements make screening moderately strict.
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Execute audit engagements using data analytics to evaluate control effectiveness and identify risks within State Street's business lines.
Serve as liaison between Business Audit and Data Analytics teams to design and implement data-driven audit test approaches and continuous auditing use cases.
Lead drafting of audit issues based on data analysis, assess corrective actions, coach junior staff, and support audit and data analytics program improvements.
5+ years of experience in Public Accounting, Internal Auditing, or financial services.
Bachelor’s degree in finance, accounting, computer science, or related fields.
Proficiency in data analytics tools such as SQL, Python, R, Tableau, PowerBI, Alteryx; technical expertise in AI, data science and machine learning models is a plus.
Ability to audit information technology general controls and willingness to travel domestically and internationally as needed.
Experienced in integrating data analytics into internal audit processes and capable of acting as a bridge between audit and data science teams.
Strong technical skills in advanced data analytics including AI, machine learning, and automation tools to improve audit quality and efficiency.
Comfortable working in a fast-paced, complex financial services environment with a focus on risk-based audit methodology and regulatory compliance.