Credit Risk - Senior Associate - Bangalore

Role Overview: At PwC, the Data and Analytics team focuses on utilizing data to drive insights and enable informed business decisions. As a member of the data analysis team, your role will involve leveraging advanced analytics techniques to extract insights from large datasets and facilitate data-driven decision-making. You will utilize skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business challenges. Key Responsibilities: - 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 your project or role and align your work with the overall strategy. - Develop a deeper understanding of the business context and its evolving landscape. - Interpret data to derive insights and make recommendations. - Uphold professional and technical standards, including adherence to specific PwC tax and audit guidance, the Firm's code of conduct, and independence requirements. Qualifications Required: - Master's degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering, or MBA; advanced degree is a plus. - Industry-relevant certifications in CQF, FRM, CFA, CPA are advantageous. - Strong analytical and problem-solving skills with the ability to address issues using large datasets. - Process orientation with attention to detail and strong technical skills. - Excellent oral and written communication skills. - Willingness to travel to meet client needs when required. Additional Details: In order to excel in PwC Risk CoE, candidates should possess: - Understanding of market trends and demands in the financial services sector. - Strong technical capabilities and industry knowledge of financial products. - Ability to isolate and solve issues using significant amounts of data. - Process orientation and attention to detail. - Desirable non-functional skills include the ability to structure vague problems, lead complex risk analytics engagements, support sales pursuits, manage multiple engagements simultaneously, and drive innovation in risk management. - For senior positions, proven consulting skills, experience in leading and driving large risk analytics initiatives, and managing people and initiatives are expected. - Intellectual property, patents, or exclusive rights on innovative solutions are considered advantageous.,