Data Analytics-System Transformation - Data-Senior Associate

- Respond effectively to diverse perspectives, needs, and feelings of others. - Utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employ critical thinking to break down complex concepts. - Understand the broader objectives of projects or roles and align your work with the overall strategy. - Develop a deeper understanding of the business context and its changing dynamics. - Use reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpret data to derive insights and recommendations. - Uphold professional and technical standards, the Firm's code of conduct, and independence requirements.

- Bachelors or Masters degree in Engineering and Business, Financial Mathematics, Mathematical Economics, Quantitative Finance, Statistics, or related field. - Minimum 4 years of experience in relevant roles, preferably in a public accounting firm or a large corporation. - At least 3 years of assurance experience in internal controls and/or business process testing. - Experience in technology risk, such as IT General Controls and information security. - Previous exposure to shared service delivery centers. - Preferred certifications like CIA, CISA, or ITIL. - CA, CPA, or equivalent certification. Good To Have Skills: - Advanced knowledge of financial risk management, operational risk management, and compliance requirements. - Proficiency in data analytics tools like Alteryx, Power BI, and Microsoft suite tools. - Experience with major ERPs such as SAP, Oracle, and technology security management. - Programming skills in SQL, Python, or R. - Accounting and consulting experience. - Knowledge in financial services industry. - Strong analytical skills with attention to detail. - Excellent verbal, written, and interpersonal communication skills. - Ability to work independently and within a team environment. Additionally, you will be expected to engage in various tasks such as managing client engagements, preparing reports, identifying business opportunities, supporting team members, and conducting advanced data analysis to support test procedures. Your role will involve collaborating effectively with local and regional teams and clients, managing project economics, and providing coaching to junior team members. Your critical-thinking ability will be crucial in evaluating documentation quality and identifying areas for improvement. As an Audit and Assurance professional at PwC, you will focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information. Your role will involve evaluating compliance with regulations, assessing governance and risk management processes, and related controls to enhance the credibility and reliability of information for various stakeholders. Additionally, you will be assisting clients in developing data, analytics, and technology solutions to build trust, drive improvement, and detect, monitor, and predict risk. Your work will encompass using advanced analytics, data wrangling technology, and automation tools to leverage data and establish efficient processes for clients to make informed decisions based on accurate information.

- Respond effectively to diverse perspectives, needs, and feelings of others. - Utilize a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employ critical thinking to break down complex concepts. - Understand the broader objectives of projects or roles and align your work with the overall strategy. - Develop a deeper understanding of the business context and its changing dynamics. - Use reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpret data to derive insights and recommendations. - Uphold professional and technical standards, the Firm's code of conduct, and independence requirements.

- Bachelors or Masters degree in Engineering and Business, Financial Mathematics, Mathematical Economics, Quantitative Finance, Statistics, or related