Job
Description
At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. The team utilizes advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a member of the data analysis team at PwC, you will be responsible for extracting insights from large datasets using advanced analytical techniques. Your role involves driving data-driven decision-making by applying skills in data manipulation, visualization, and statistical modeling to help clients solve complex business problems. Driven by curiosity, you are expected to be a reliable and contributing member of a team. Working in a fast-paced environment, you will be required to adapt to working with various clients and team members, each presenting unique challenges and scope. Every experience is viewed as an opportunity for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is essential. As you progress within the Firm, you will establish a brand for yourself, creating more opportunities for personal and professional growth. Skills required for success in this role include: - Demonstrating a learning mindset and taking ownership of personal development. - Appreciating diverse perspectives, needs, and feelings of others. - Adopting habits to sustain high performance and develop potential. - Actively listening, asking questions for clarity, and effectively expressing ideas. - Seeking, reflecting on, acting upon, and providing feedback. - Gathering information from various sources to analyze facts and identify patterns. - Committing to understanding how businesses operate and developing commercial awareness. - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements. Responsibilities as an Associate at PwC include working as part of a team to solve complex business issues from strategy to execution. Professional skills and responsibilities at this level involve: - Using feedback and reflection to enhance self-awareness, leverage personal strengths, and address development areas. - Delegating tasks to provide growth opportunities for others and coaching them to achieve results. - Demonstrating critical thinking skills and the ability to structure unstructured problems. - Utilizing a variety of tools and techniques to extract insights from current industry trends. - Reviewing work for quality, accuracy, and relevance, both personally and in a team setting. - Knowing when and how to use tools effectively for a given situation and being able to explain the rationale behind the choice. - Embracing opportunities that expose you to different environments, situations, and perspectives. - Communicating clearly and effectively, structuring communication when influencing and connecting with others. - Adapting behavior to build quality relationships and uphold the firm's code of ethics and business conduct. As a member of the Risk & Regulatory Advisory team, you will provide guidance to financial institutions on various credit risk management topics, such as organization and governance, credit process optimization, risk rating model design and implementation, and Current Expected Credit Losses (CECL) process and tools. Working with a team, you will evaluate, design, and implement credit risk strategies to help clients address market challenges related to credit risk. Basic qualifications for this role include a Bachelor's degree in Business Administration/Management, Mathematics, Statistics, Finance, or Accounting. Preferred degrees include CA or CS, and certifications in FRM or CFA are a plus. A minimum of 1.5 to 3 years of experience is required. Demonstrating abilities in leading or facilitating project management or client consultations related to credit-related activities and credit risk management is essential. Strong knowledge of Allowance for Credit Losses, including methodology, models, and US GAAP requirements under CECL, as well as knowledge of IFRS 9, is advantageous. Proficiency in writing and communication across complex accounting, credit, and model topics is important. Experience in finance, reserve, or controllership at a large financial institution and in designing, building, or validating qualitative reserves for various asset classes is beneficial. In addition, expertise in designing and implementing process improvement solutions using PC applications such as MS Office is required. This includes knowledge of credit reserve methodologies used by financial institutions, successful collaboration with teams, client relationship management, and effective communication of project goals and deliverables. Ability to work with and manage on-shore and off-shore teams, as well as keeping leadership informed of progress and issues, are key competencies for this role.,