Credit Risk - Senior Associate - Bangalore

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. In the role of data analysis at PwC, you will concentrate on using advanced analytical techniques to extract insights from large datasets and enable data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. A Fraud/AML Risk Analytics Professional at PwC will be responsible for developing, validating, auditing, and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates are expected to support financial institutions in meeting jurisdictional regulatory requirements and broader risk management initiatives. Key responsibilities include: - Developing and validating AI/ML/NLP models for Fraud/AML/Credit risk - Supporting financial institutions in meeting regulatory requirements and risk management initiatives - Utilizing advanced analytics techniques to extract insights from large datasets - Leveraging skills in data manipulation, visualization, and statistical modeling - Building meaningful client connections and learning to manage and inspire others - Growing personal brand and deepening technical expertise - Delivering quality work while embracing ambiguity and seeking opportunities to grow Core Skill Requirements: - 3-7 years of experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical/Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field - Proficiency in Machine learning algorithms like Random Forest, SVM, Neural Network, etc. - Experience in AML Scenario development, enhancement, and initial threshold setting and tuning - Proficiency in analytical tools such as Python, PySpark, Data Science, and cloud-based analytics - Business knowledge in transaction monitoring system, sanction screening, trade surveillance - Strong knowledge of fraud data analysis, strategy design, and delivery deployment Non-functional Skill Requirements: - Understanding of market trends and demands in the financial services sector - Excellent oral and written communication skills - Solid analytical and problem-solving skills - Process orientation with attention to detail - Industry knowledge of financial products - Willingness to travel to meet client needs Educational Background: - Master's degree or higher in a quantitative discipline - Industry relevant certifications such as CQF, FRM, CFA, CPA are a plus Additional Requirements For Senior Positions: - Consulting skills to structure and conceptualize solutions for complex problems - Experience in leading large risk analytics engagements independently - Ability to support sales pursuits for risk analytics offerings - Strong conceptual understanding of various functional/technical skills - Ability to drive innovation and thought leadership in risk management This role at PwC offers the opportunity to work with cutting-edge technologies and make a significant impact in the field of data analytics and risk management.,