Job
Description
At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. As a Senior Associate, you will be managing engagements and will be responsible for designing and developing ways to automate and reimagine audits, coaching teams. You would develop audit solutions by implementing innovative technologies, such as Alteryx, SQL. Python, Power BI, PowerApps, Process Intelligence. You will build a strong understanding for the role data and analytics plays in the modern day audit and review and quality control of the outputs. You’ll get to work on technical assignments enabling you to develop skills in a range of data analytics and visualisation. As well as developing business and soft skills around the topic of data and analytics within the audit which our clients are demanding today. Day to day responsibilities will include: Day to day coaching of junior staff members to help them progress Joining weekly team meetings Having oversight of keeping to deadlines and budgets Delivering client engagements Data management, including data extraction and data cleansing processes Analytics and reporting, including visualisation of data to help organisations manage business risk establish the right controls, processes and structures to ensure that information can be trusted and improve decision-making Advanced analytics, where we use data science techniques to help our clients navigate future risks and opportunities through predictive and prescriptive analytics Enhancing & building strong relationships with the engagement Teams and clients. The role provides an opportunity for the individual to interact with territory audit teams to articulate the objectives and testing results. Minimum Degree(s): B.Tech/BE/M.Tech/ME (preferably computer science), Bachelors or Master’s Degree in Computer Science, Data Analytics or Accounting/Commerce with minimum 4 years of relevant experience. Candidates with “Big 4” or equivalent experience would be preferred Strong market credentials in data & analytics working with large organisations and an ability to demonstrate knowledge and insight in data management, data cleansing and data analytics within the audit process Strong stakeholder management and interpersonal skills, including communication with senior stakeholders of a non-data background (being able to communicate technical issues in simple business terms) and excellent reporting writing skills Experience in managing projects, including developing project plans, budgets and deliverables schedules Experience of the full engagement delivery lifecycle including risk management Proven analytical and problem solving capabilities on complex engagements Potential and ambition to develop a long-term career in PwC Technical Skills: Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python) Data visualisation experience (eg PowerBI) Understanding of common data quality issues and they effect they have on machine learning models; Data cleansing and manipulation for machine learning (e.g. feature engineering); Experience and be able to demonstrate finance/accounting understanding; Experience with financial / general ledger data; Knowledge of the current data science software platforms. Show more Show less
