PwC

Financial Risk & Reg - Tech & Analytics, Senior Manager

Charlotte, NC New York, NY
USD 130k - 256k
Kubernetes R VBA SQL Python Machine Learning
Description

Industry/Sector

Banking and Capital Markets

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

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 Year(s) of Experience:
7 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 thought leader-level 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;
  • Specific skillsets of interest include kubernetes/containerization, cloud engineering, DevOps, product management, and web services;
  • 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.

Travel Requirements

Up to 60%

Job Posting End Date

Learn more about how we work: https://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: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

The salary range for this position is: $130,000 - $256,000, 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, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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