Credit Risk - Senior Associate

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.

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

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 37 years of experience; Location Bangalore
Core Skill 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 cloudbased 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, Selfidentified 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.
Nonfunctional 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 clients business
Excellent oral and written communication skills
Solid analytical and problemsolving 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

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