Senior Associate/ Manager - Credit Risk/Operational Risk - FS Consulting - Hong Kong

& Summary A career within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage. 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. Risk and Data Analytics Support business and strategy development for the Risk and Data Analytics landscape through new technology innovations and digital transformation Support the implementation of overall risk and capital management solutions for financial institutions, including but not limited to enterprise risk management framework, Basel planning and implementation, credit assessment and portfolio monitoring, operational risk management, ICAAP implementation, stress testing, ESG/climate risk Develop, validate and review credit risk models, including Basel IRB models, IFRS 9 ECL models, stress testing models, alternative scoring models, etc., using both traditional and alternative data and methodologies Understand clients’ IT infrastructure and business model for the execution of Risk and Data Analytics platform, and identify improvement areas on internal control, cost savings, corporate efficiency and revenue generation Perform data mining, data cleansing and big data analytics with the use of AI to support clients’ business decisions and improve their performance Collaborate with vendors and technology providers to formulate risk and data services to support clients’ business Support the risk and data analytics coaching, training and knowledge sharing within the team. You will also Work closely with clients and stakeholders to understand the business

and identify solutions for the project Support sales initiatives, develop proposals and present with clients Delegate to others to provide stretch opportunities and coach to help deliver results. Use a broad range of tools and techniques to extract insights from current trends in business area. Review your work and that of others for quality, accuracy and relevance. Share relevant thought leadership. Use straightforward communication, in a structured way, when influencing others. Able to read situations and modify behavior to build quality, diverse relationships. Uphold the firm's code of ethics and business conduct. Preferred skills Bachelor’s degree, preferably in Statistics, Risk Management, Mathematics, Economics, Quantitative Finance; Master degree holder will be given priority Qualified member of CFA, FRM is preferred Minimum 5 years of relevant experience in banks/insurance companies, rating agencies, management consulting firms, candidates with less experience will be considered as a Senior Associate title. Good knowledge of the following areas Banking business and risk management process Risk modelling and risk and data analytics Credit risk, IFRS 9 and capital management BCBS/HKMA/CBIRC/PRA requirements on Basel-related topics Experience in credit risk modelling, model validation, IFRS 9 implementation, stress testing, limit setting and loan pricing, portfolio management and ICAAP/capital adequacy assessment Understanding on the following topics is a plus: Advanced modelling and machine learning methodologies (e.g. gradient boosting, neural network) Sustainability strategy and ESG / climate and environmental risk management Operational risk management Excellent independent research skills and high degree of drive; and ability to multi-tasking with good attention to detail and judgement on prioritization Ability to work under pressure Strong analytical and problem solving skills Proved experience in using statistical software (e.g. Python, SAS, R) Ability to translate client issues into solutions that address complex situations Excellent communication and interpersonal skills Proficiency in English and Mandarin/Cantonese is essential