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Integrated Data Analytics Lead, Corporate Audit, Vice President

Currenex State Street Trust Company·Posted yesterday

Location

All India

Experience

6–10 years

Required Skills

Data ScienceData AnalysisControl TestingSQLPythonRTableauAlteryxMachine LearningBig DataAIPowerBIDatabricks

About the Role

As an Integrated Data Analytics Lead, Corporate Audit, Vice President at State Street, your role is crucial in enhancing audit execution, technology risk coverage, and enterprise insight through the use of data analytics, automation, and emerging technologies. You will work closely with the Data Analytics team and business audit team to design data-driven test approaches, analyze results, and contribute to the onboarding and coaching of junior staff. The role will be performed in a hybrid model, with 4 days on site and 1 day remote from Bangalore or Pune, India.

Your key responsibilities will include:

  • • Helping lead and execute the advanced analytics & AI strategy for Corporate Audit

  • • Providing leadership and oversight to analytics professionals supporting audit and technology risk activities

  • • Establishing standards, governance, and best practices for analytics, AI, and automation within audit

  • • Overseeing the design and execution of analytics-driven audit approaches

  • • Serving as a senior partner to Technology and Business teams

  • • Translating complex technical and analytics findings into clear, executive-level insights

  • • Advising audit leadership on emerging technology risks and opportunities for enhanced assurance
  • To succeed in this role, you should possess:

  • • The ability to operate in a complex, non-routine, and fast-paced environment

  • • Strong technical skills in AI, data science, data analysis, and control testing

  • • Proficiency in evaluating business processes, identifying inherent risk, and testing internal controls

  • • Excellent communication, interpersonal, and presentation skills

  • • Proven ability to research, interpret, and apply regulatory requirements
  • Qualifications required for this role include:

  • • 10 years of total experience in financial services or technology, with 6 years in Internal Audit

  • • Professional experience or a degree related to data science and analytics

  • • Technical data analytics skills using SQL, Python, R, Tableau, PowerBI, Alteryx, and other analytics tools

  • • Experience in applying AI, data science, and machine learning models in audit

  • • Technical expertise with big data is a plus

  • • Bachelor's degree required, preferably in finance, accounting, computer science, or related fields

  • • Advanced degree or certification (CFA, FRM, CPA, CIA) preferable

  • • Technical expertise with Databricks preferable

  • • Experience in auditing information technology general controls
  • State Street is committed to fostering an inclusive environment where every employee is valued and empowered to reach their full potential. As an Equal Opportunity Employer, State Street considers all qualified applicants for positions without regard to various characteristics protected by applicable law. Join State Street in shaping the future and be part of a global team that values smart, engaged employees essential to continued success. As an Integrated Data Analytics Lead, Corporate Audit, Vice President at State Street, your role is crucial in enhancing audit execution, technology risk coverage, and enterprise insight through the use of data analytics, automation, and emerging technologies. You will work closely with the Data Analytics team and business audit team to design data-driven test approaches, analyze results, and contribute to the onboarding and coaching of junior staff. The role will be performed in a hybrid model, with 4 days on site and 1 day remote from Bangalore or Pune, India.

    Your key responsibilities will include:

  • • Helping lead and execute the advanced analytics & AI strategy for Corporate Audit

  • • Providing leadership and oversight to analytics professionals supporting audit and technology risk activities

  • • Establishing standards, governance, and best practices for analytics, AI, and automation within audit

  • • Overseeing the design and execution of analytics-driven audit approaches

  • • Serving as a senior partner to Technology and Business teams

  • • Translating complex technical and analytics findings into clear, executive-level insights

  • • Advising audit leadership on emerging technology risks and opportunities for enhanced assurance
  • To succeed in this role, you should possess:

  • • The ability to operate in a complex, non-routine, and fast-paced environment

  • • Strong technical skills in AI, data science, data analysis, and control testing

  • • Proficiency in evaluating business processes, identifying inherent risk, and testing internal controls

  • • Excellent communication, interpersonal, and presentation skills

  • • Proven ability to research, interpret, and apply regulatory requirements
  • Qualifications required for this role include:

  • • 10 years of total experience in financial services or technology, with 6 years in Internal Audit

  • • Professional experience or a degree related to data science and analytics

  • • Technical data analytics skills using SQL, Python, R, Tableau, PowerBI, Alteryx, and other analytics tools

  • • Experience in applying AI, data science, and machine learning models in audit

  • • Technical expertis
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