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.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
Market And Counterparty Risk Analytics Professional Job Specification
Candidate would be responsible for developing, validating, auditing market risk valuations/models and counterpart credit risk models for trading, investment and corporate portfolios of global financial institutions. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.
Experience level 6-10 years of experience;
Location: Bangalore
Core Skill Requirements
Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, counterparty and market risk management, or related field at a reputed bank, investment or broker services, asset management firm or a consulting firm. Wider skill requirements include:
- Independently built and managed quantitative market and counterparty risk analytical models
- Strong experience/knowledge in at least some of the following areas (in quant space)
- Counterparty Credit Risk (PFE, CVA, XVA)
- Pricing and valuation - Derivatives (across one or more asset classes)
- Modeling of Risk Metrics (e.g, EPE, PFE, RWA, Greeks)
- Market Risk Scenarios and Stress Testing
- Development, prototyping and back-testing of Monte Carlo Credit Exposure Models
- Incremental default risk, specific risk charge and stressed VaR
- Worked on multiple Market Risk Models like to develop/review calculation of VaR(Historical, Parametric and Monte Carlo), RNiV, CCAR, IRC Model Validation/ development and present value for various type of instruments using any statistical tool
- Strong experience/knowledge in at least some of the following areas (business knowledge)
- Good knowledge of market risk concepts: Risk Factor, VAR, Earning at Risk, cash flow at risk, ETL, PV01, Independent Validation, Exotic derivatives, FX, Interest rate derivatives, volatility, commodities, credit derivatives, Fixed income, Hull & White, Monte Carlo simulation, Capital calculation
- Knowledge and experience with counterparty risk concepts (PFE,SA-CCR, EPE etc
- Leveraging experiential know-how of a wide range of financial products like Equity, Derivative, Swaps, IR, Credit derivatives, OTC products, Swaps, Securitization, CDOs etc.
- Knowledge of one or more of global regulatory Topics BASEL II/III, IFRS 9, CCAR/DFAST, CECL, FRTB, SR-11/7 around data sufficiency, modeling methods, industry standards etc.
- Assisted clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure.
- Programming and Algorithms: R, Python, SAS, Matlab, Scala, VBA etc.
- Experience with with Murex, QRM, Reuters, FINCAD, Bloomberg and Algo is a plus
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 clients 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