Credit Risk - Senior Associate - Bangalore

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Fraud/AML Risk Analytics Professional Job Specification

Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.Multiple positions required;Experience level 3-7 years of experience; Location: BangaloreCore Skill Requirements

Requirements

Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include:

• Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning.
• Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc.
• Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant)
• Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.
• Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions.
• Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm
• Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc.
• Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment.
  

Non-functional Skill Requirements

In order to succeed in PwC Risk CoE, it is desirable for candidates to possess:

• Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business
• Excellent oral and written communication skills
• Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
• Process orientation with strong technical skills and attention to detail
• Deep technical capabilities and industry knowledge of financial products
• Willingness to travel to meet client needs, as needed
  

Educational Background

Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus

Additional Requirement For Senior Positions

Candidates aspirant of senior positions at PwC Risk CoE are expected to possess:

• Proven consulting skills to structure vague problems at hand and conceptualizing solutions
• Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently
• Experience in supporting sales pursuits for risk analytics offerings and solutions
• Ability to manage multiple engagements simultaneously along with leading people and initiatives
• Strong conceptual understanding of various functional/technical skills
• Ability to drive innovation and thought leadership in the risk management domain
• Intellectual property, patents and exclusive rights on any innovative solution is a plus