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Actuarial Analyst II

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ISO

2021-12-03 07:37:32

Job location Absecon, New Jersey, United States

Job type: fulltime

Job industry: Insurance & Superannuation

Job description

Job Description

The Data Engineering & Architecture Lab (DEAL) is responsible for the design and implementation of our core data-systems including data ingestion, data integration, data transformation, data analysis, and analytic dataset construction. We are an innovation group that is charged with visualizing the future of our organizations operations and leveraging our expertise in data, technology, P&C insurance, and process optimization to provide a first-class analytics environment to our data-collection, data-management, actuarial, and data-analytics colleagues.

The DEAL team is looking to hire an Actuarial/Business Analyst, ideally having a good combination of an analytical/innovative mindset, technical aptitude and communication IS EXPECTED THAT THE CANDIDATE WILL HAVE A PROVEN TRACK RECORD OF LEVERAGING TECHNOLOGY TO IMPROVE BUSINESS PROCESSES.For internal candidates, this position is open to grade level 13-14.

At this position, you are likely to take on multiple projects simultaneously, sometimes working independently, but more often collaborating across business areas and our IT development partners. You will be responsible for listening to our internal customers needs, discerning the true requirements, and designing the solution. Additionally, you will work with the development team to bring your solutions to full production status when necessary.

Some anticipated work assignments include:

Rapid system development to ingest data submission files into an appropriate database utilizing tools such as SQL, R, and Python

Working with business areas to identify data processing functions and developing python\SQL functions to execute business logic

Manage ISOs core business logic repository and all associated objects

Designing data wrangling processes to support construction of analytic data sets

Analyze existing workflows and identify ways to leverage data science techniques to reduce inefficiencies utilizing data visualization and\or report writing with Python, R, and other BI Tools.

Drafting specifications for data calls, ETL processes, and database architectures

Serve as data expert on analytics projects that utilize any of ISOs contributory data assets

Develop domain knowledge around data related technologies such as cloud infrastructure, machine learning, artificial intelligence, and blockchain

Contributing to knowledge sharing initiatives and information liberalization

You will be part of a culture that embraces learning and innovation, values teamwork, recognizes and rewards achievements and excellence, and provides personal and professional enrichment opportunities.

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