Risk and Reg, Data and Analytics - Market Risk; Senior Manager

Key Skills

Microsoft-Excel, Java Programming, Analytical and Problem solving, Software Testing, Risk Analytics, Python Programming, SQL, Data Modeling, R Programming, VBA, SAS

Job Description

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

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.

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:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
• Deal effectively with ambiguous and unstructured problems and situations.
• Initiate open and candid coaching conversations at all levels.
• Move easily between big picture thinking and managing relevant detail.
• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
• Contribute technical knowledge in area of specialism.
• Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
• Navigate the complexities of cross-border and/or diverse teams and engagements.
• Initiate and lead open conversations with teams, clients and stakeholders to build trust.
• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Minimum Years of Experience:

7 year(s)

Preferred Qualifications:

Degree Preferred:

Master Degree

Preferred Fields of Study:

Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology, Financial Mathematics, Applied Physics, Data Processing/Analytics/Science

Preferred Knowledge/Skills:

Demonstrates intimate-level abilities and/or a proven record of success managing efforts with identifying and addressing client needs.

• Demonstrates a proven record of success developing, validating or auditing models within the Financial Services sector, including; the banking industry, consulting, or government regulatory positions, in the following areas: securities and derivatives valuation and risk management, including retail and/or wholesale, market and credit risk models, mortgage prepayment models, and/or complex discounted cash flow models;
• Specializes in econometric and analytical modeling, statistical and machine learning techniques for analyzing large sets of financial data, including: sampling, hypothesis testing, optimization; time series, regression, decision tree, and cluster analyses;
• Displays techniques for visualizing complex financial data analyses;
• Utilizes working knowledge of the regulatory guidance on model risk management, including model documentation and model validation report writing;
• Demonstrates abilities and/or a proven record of success in the following areas: model development, testing, documentation, and validation tasks for pricing/valuation, risk, or capital models; 
• Specializes in advanced statistical and/or econometric modeling utilizing SAS or R software, Excel/VBA, SQL, Python and other programming languages and applications;
• Displays ability to identify and address client needs, which includes: building relationships with clients, developing an awareness of Firm services, approaching client in an organized manner, and delivering clear requests for information;
• Provides problem solving skills, communicates effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; 
• Displays ability to research and analyze pertinent client, industry, and technical matters;
• Demonstrates ability to contributes to a positive working environment by building relationships with team members; proactively seeking guidance, clarification and feedback;
• Demonstrates ability to identify, escalate and communicate potential issues and conflicts; and,
• Utilizes flexibility in handling multiple tasks by prioritizing and focusing on successful execution.