Risk - Credit Risk Analytics - Senior Manager
Job Description
A career in our Model Risk and Validation practice, within Risk Data and Analytics services, will provide you with the opportunity to help our clients develop a strategic and sustainable approach to harness the value of their data and drive business results.We work with organisations across industries to develop customised, cost effective technology solutions that focus on delivering the relevant, actionable intelligence that executives need to understand operations and manage critical risks. As part of the team, you'll help organisations manage the deployment and maintenance of complex models used for risk management and valuation.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework.It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
Fraud/AML Risk Analytics Professional Job Specification
As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
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 12-18 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 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
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