Role Summary:
The Head of Data Analytics & Innovation (Audit) is a strategic leadership role responsible for leveraging data analytics, advanced technologies, and innovative practices to enhance the audit function. This individual will design and implement data-driven solutions to improve risk identification, audit efficiency, and decision-making. The role requires a blend of technical expertise, strategic thinking, and strong collaboration with audit and business leaders. This role plays a critical role in transforming the audit function to meet the demands of a data-driven and technology-enabled business environment. This leader will ensure the organization is equipped to proactively identify risks, improve decision-making, and enhance audit efficiency through the use of data and innovation.
Key Responsibilities:
1. Strategic Leadership
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Develop and execute the vision and strategy for integrating data analytics and innovation into the audit functions.
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Partner with senior audit and business leaders to identify opportunities for data-driven enhancements in audit planning, execution, and reporting.
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Promote a culture of innovation and continuous improvement within the audit department.
2. Data Analytics and Insights
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Design, implement, and manage data analytics tools and methodologies to identify risks, trends, and anomalies across key business areas.
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Drive the use of advance analytics (e.g., predictive analytics, machine learning, AI) to enhance audit capabilities.
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Oversee the development of data visualization dashboards and reports to present audit findings in a clear and actionable manner.
3. Innovation in Audit Practices
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Introduce cutting-edge technologies and tools to improve audit effectiveness, such as robotic process automation (RPA), natural language processing (NLP), and blockchain analytics.
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Evaluate and implement emerging technologies to automate routine audit tasks and increase audit scope.
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Lead pilot projects and proofs of concept to assess the viability of innovative approaches.
4. Risk Identification and Assessment
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Enhance risk assessment processes using data-driven insights and innovative techniques.
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Collaborate with audit teams to prioritize high-risk areas and provide targeted recommendations for improvement.
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Ensure the integration of data analytics into enterprise-wide risk management strategies.
5. Team Development adn Collaboration
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Build and lead a team of data analytics and innovative professionals within the audit function.
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Provide training and mentorship to audit staff to enhance their data literacy and analytics capabilities.
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Collaborate with IT, Risk Management, and other departments to ensure alignment and integration of data analytics initiatives.
6. Compliance and Regulatory Alignment
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Ensure that data analytics and innovation initiatives comply with regulatory requirements and align with industry standards.
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Support external regulatory inquiries by providing data-driven evidence and insights.
7. Performance Measurement
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Develop key performance indicators (KPIs) to measure the impact of data analytics and innovation on audit outcomes.
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Continuously monitor and improve the efficiency and effectiveness of analytics-driven audit processes.
What We're Looking For
Experience: 10+ years of experience in audit, data analytics, or related fields, with at least 5 years in a leadership role at a leading global financial institution, fintech, or Big 4 firm. Proven experience implementing data analytics programs in an audit or risk management environment. Experience in crypto, digital assets, or blockchain is a plus.
Expertise: Strong proficiency in analytics tools (e.g., Python, R, SQL, Tableau, Power BI). Familiarity with advanced technologies, such as machine learning, AI, RPA, and blockchain. Knowledge of data governance, data quality, and data security principles.
Leadership: Proven ability to lead and inspire cross-functional teams in a fast-paced, high-growth environment. Communication: Exceptional ability to articulate complex ideas to diverse audiences, including regulators, senior leadership, and boards.
Education: Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Finance, Accounting, or a related field.
Certifications: One or more of the following or related certifications:Certified Analytics Professional (CAP), Tableau Desktop Specialist or Tableau Certified Data Analyst; Microsoft Power BI Data Analyst Certification; SAS Certifed Data Scientist. CPA, CIA, CISA, CFA or similar credentials are a plus.
Okcoin Statement:
Okcoin is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $219,000 - $262,000. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
