PwC Computational Finance Sr. Associate, Deals Tech & Data in Philadelphia, Pennsylvania
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 20%
A career in Technology and Data Solutions practice, within Deals Transaction Services, provides the opportunity to help organizations realize the potential of mergers, acquisitions, divestitures and capital markets. You will have the opportunity to leverage technology and data to drive better Deal decisions and execute transactions more effectively, helping companies originate, create, execute, and realize value from deals.
Our team consists of well-rounded creative professionals who have a passion and aptitude for building technology driven solutions and pushing the boundaries of innovation in Deals. We are industry leaders in embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal-focused solutions.
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 Associate, 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:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
Demonstrates thorough abilities and/or a proven record of success as a model developer with a detailed understanding of the model development lifecycle, and in applying quantitative analysis for development and maintenance of statistical models. In addition, demonstrates thorough abilities and/or a proven record of success in the following:
Analyzing complex financial services data, leveraging programming skills and computational techniques for large data sets and quantitative analyses;
Conducting research and building econometric, statistical, and analytical models to solve real world problems;
Designing and developing models for strategic decision support and scenario analysis - including simulation modeling and optimization techniques;
Utilizing quantitative techniques to analyze complex client problems and develop solutions;
Conducting pertinent client, industry, or technical research to solve clients’ problems;
Communicating the results of analysis to all stakeholders, technical as well as non-technical;
Possessing thorough level of ability with quantitative programming skills (Python, R) to develop and deploy financial models;
Possessing considerable knowledge of probability and statistics principles;
Possessing thorough level of ability with a wide range of regression and classification modeling techniques: logistic/linear regression, time series modeling, hazard rate modeling, decision tree analysis, segmentation/cluster analysis etc;
Possessing thorough level of ability with simulation modeling algorithms and techniques;
Possessing considerable ability with optimization techniques; and,
Possessing thorough level of ability with machine learning/AI algorithms.
At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-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.
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.
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate.