Actuarial Services - Geospatial Information Scientist

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Job description

A career in our Actuarial 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 helps insurers address new financial reporting requirements by assessing the financial and business impacts of regulations, building implementation plans, and implementing relevant requirements, particularly across areas of financial reporting change.

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 :
Bachelor Degree

Required Fields of Study :
Economics, Statistics, Actuarial Science, Mathematical Statistics, Environmental Science, Data Processing/Analytics/Science, Computer and Information Science, Computer Engineering, Mathematics, Environmental Health/Engineering

Minimum Years of Experience :
3 year(s)

Preferred Qualifications :

Certification(s) Preferred :

N/A

Preferred Knowledge/Skills :

Demonstrates thorough abilities and/or a proven record of success as a team leader:

• Demonstrates expertise using GIS Softwares (ArcGIS);
• Demonstrates data visualization skills using business intelligence tools;
• Demonstrates proven ability in processing and analyzing 3D-maps, topology, and hydrology models in Python;
• Demonstrates experience in modeling, data analysis, and machine learning based on satellite images or aerial photographs;
• Demonstrates interest in roles involving natural catastrophe modeling and/or climate modeling;
• Demonstrates some abilityto design and develop new products from the ground up, and working with a growing team of climate experts and financial professionals;
• Demonstrates strong analytical, data science and programming skills (Python), and good knowledge of the CMIP5 / CMIP6 models; and,
• Demonstrates proven ability to work as a team on the development of a scalable solution.