AML and Fraud Model Validation

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.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

Overview

PwC US, Risk Analytics Center of Excellence – Job Description

PwC is one of the most prestigious professional services firms in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation.

Risk Analytics Center of Excellence (CoE) is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting-edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning.

Experience level 2-6 years of experience.

Location: Bangalore

• AML & Transaction Monitoring Expertise – Strong background in AML audit, regulatory requirements, transaction monitoring typologies, red flag analysis, and hands-on experience with Actimize rules, KPIs, implementations, and controls. Skilled in validating transaction authenticity, aligning purpose codes with business activity/MCC classification, and assessing coverage of high-risk corridors and typologies against FATF, OFAC, regulatory expectations, industry red flags, and internal risk appetite.
• Rule Logic & Optimization – Evaluate and enhance TM rule logic, thresholds, frequency, and alert performance through analysis of historical alerts, false positives, and SAR conversion rates. Conduct gap assessments to identify under-coverage, recommend calibration, ATL BTL testing and review or drafting of Business Requirement Documents (BRDs) and technical documents to formalize monitoring enhancements.
• Sanctions & Screening Knowledge – Understanding of OFAC, EU, UN, UK HMT sanctions regimes, sanction screening models (watchlist filtering, fuzzy matching, name screening, alert scoring), and familiarity with vendors like Fircosoft, Actimize
  
  

WLF, Accuity, SafeWatch. Should have sound knowledge of model testing based on screening logic and fuzzy matching.

• Fraud Model Validation & Controls – Expertise in fraud model audit and end-to-end validation, including variable selection, modeling approaches, calibration, performance metrics, and implementation. Ensure alignment with industry best practices and governance controls to strengthen fraud and AML monitoring frameworks.
• Governance & Communication – Strong written and verbal skills to prepare validation reports, governance decks, and regulatory responses, with experience in ongoing monitoring, periodic reviews of sanction/fraud models, and false positives reduction techniques.