Financial Risk & Reg - Tech & Analytics, Manager

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Banking and Capital Markets

Time Type: Full time

Travel Requirements: Up to 60%

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 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:

• Develop new skills outside of comfort zone.

• Act to resolve issues which prevent the team working effectively.

• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.

• Analyse complex ideas or proposals and build a range of meaningful recommendations.

• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.

• Address sub-standard work or work that does not meet firm's/client's expectations.

• Use data and insights to inform conclusions and support decision-making.

• Develop a point of view on key global trends, and how they impact clients.

• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.

• Simplify complex messages, highlighting and summarising key points.

• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:

Bachelor Degree

Minimum Year(s) of Experience:

5 year(s)

Preferred Qualifications:

Preferred Fields of Study:

Financial Mathematics, Mathematical Economics, Mathematical Statistics, Statistics, Applied Mathematics, Mathematics, Engineering ,Engineering and Business

Additional Educational Preferences:

Advanced Degree in Mathematics or other quantitative discipline

Preferred Knowledge/Skills:

Demonstrates extensive abilities with, and/or a proven record of success directing efforts 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.

Learn more about how we work: /pwc. to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: /pwc. to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, v.