Credit Risk - Senior Associate

Role Overview: At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. As a Data Analyst at PwC, you will utilize advanced analytics techniques to extract insights from large datasets and support clients in solving complex business problems through data-driven decision-making. Your role will involve skills in data manipulation, visualization, and statistical modeling to optimize client operations and strategic goals. Key Responsibilities: - Develop, validate, audit, and maintain AI/ML/NLP models for Fraud/AML/Credit risk - Support financial institutions in meeting regulatory requirements and risk management initiatives - Utilize machine learning algorithms like Random Forest, SVM, Neural Network, and Artificial Learning for NLP and Robotics use cases - Proficiency in analytical tools such as Python, PY Spark, Data Science, and cloud-based analytics - Business knowledge in transaction monitoring, sanction screening, trade surveillance, and Financial Crimes processes - Strengthen AML knowledge, Process Governance & Controls, and support regulatory exams and compliance assurance tests - Develop innovative features and algorithms to reduce false positives and identify threats - Utilize traditional statistical analytics, graph theory, Natural language processing, text analytics, and machine learning feature engineering - Prior experience in AML/Financial Crime analytics, fraud data analysis, and strategy development Qualifications Required: - Relevant experience in Machine Learning, Artificial Intelligence, NLP, Statistical/Mathematical modeling, and Fraud/AML risk management - Proficiency in machine learning algorithms and analytical tools - Understanding of market trends in financial services sector and excellent communication skills - Strong analytical and problem-solving skills with attention to detail - Educational background in quantitative disciplines such as Economics, Statistics, Mathematics, or relevant certifications like CQF, FRM, CFA, CPA - Additional requirements for senior positions include proven consulting skills, leading complex risk analytics engagements, and driving innovation in risk management domain,