PwC Actuarial P&C Data Analytics Senior Associate in Philadelphia, Pennsylvania
Line of Service: Assurance
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: Yes
Travel Requirements: Up to 40%
A career in our Actuarial Non Life Services practice, within Actuarial Services, will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third party administrators. You’ll provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modelling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyse the impact that new regulation will have on an insurance company’s balance sheet or you could be revising businesses’ projections and making sure they have adequate reserves. Our team advises clients in the general insurance and non insurance industries on regulatory updates and business risks from natural catastrophes to mortgage defaults. We develop comprehensive risk analysis and mathematical models to help organisations enhance their business forecasting capabilities, limit their risks, and use their data informatively to make better strategic business decisions.
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.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Required Fields of Study :
Actuarial Science, Statistics, Mathematics, Mathematical Statistics, Applied Mathematics
Minimum Years of Experience :
Required Knowledge and Skills :
Demonstrates thorough abilities and/or a proven record of success as a team leader: creating a positive environment by monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; providing candid, meaningful feedback in a timely manner; keeping leadership informed of progress and issues; answering questions and providing direction to less-experienced staff.
Preferred Qualifications :
Degree Preferred :
Certification(s) Preferred :
Active certifications from ACAS of FCAS
Preferred Knowledge/Skills :
Demonstrates considerable knowledge of, and/or a proven record of success with, conducting detailed analyses and developing creative solutions when managing multiple, concurrent projects related to predictive analytics for P&C Insurance. Demonstrated considerable knowledge of predictive analytics development including: - Technical knowledge of all aspects of predictive analytics development, including data extraction and processing, independent variable analysis, multivariate analysis and model validation;
Various statistical analytics development techniques including linear regression, Generalized Linear Models, Non-linear Models, Decision Trees, Cluster Analysis and Neural Networks;
Insurance data structures and data elements, including various relevant external data sources that are used in predictive analytics applications;
Insurance business processes related to distribution, marketing, underwriting and pricing, and claims.
Demonstrates considerable abilities of, and/or a proven record of success with, statistical modeling, related applications, and computer applications for new solution development of predictive analytics solutions for pricing, underwriting, distribution or claims. This includes proven technical proficiency in leveraging one of the following technology to achieve these results:
Statistical software packages when conducting analyses: SAS, SPSS or R;
Relational databases to manage, store and analyze large data sets: Oracle, DB2 or Microsoft SQL, Server and business intelligence platforms such as Cognos or Business Objects.
Demonstrates extensive ability to write, communicate, facilitate, and present cogently; to and/or for all levels of industry audiences, clients and internal staff and management, which includes the following: - journal articles; practice methodologies and tools; the writing and presentation of whitepapers; and/or other standard business communications; Demonstrates a thorough level of abilities with, and/or a proven record of success as both an individual contributor and team member, identifying and addressing client needs: actively participating in client discussions and meetings; communicating a broad range of Firm services; and, managing engagements, including preparing concise, accurate documents and maintaining project economics while maintaining flexibility for unanticipated issues.
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.