Data Engineer Trainee job in High Point

High Point, North Carolina - NC Berkley

Job Ref:	10440
Employer:	Berkley
Sector:	P&C/General Insurance/Non-Life
Qualifications:	Graduate Actuary
Software:	Python R SQL
Job Type:	Full Time
Salary and Benefits:	Competitive
Remote:	No
Location
Country:	United States
State/Province/County:	North Carolina - NC
City:	High Point
Post Code:	27262
Map:	(Show on map)
Description
Company Details With over 35 years of proven expertise in the workers' compensation industry, Key Risk delivers innovative and responsive solutions that provide our clients the freedom to do what they do best. Offering guaranteed cost options to employers nationwide, Key Risk focuses on delivering products and services within specialized verticals to reduce workers' compensation exposures and deliver industry-leading results. All products and services are distributed through appointed insurance agents and brokers. Key Risk is a member company of W. R. Berkley Corporation, whose insurance company subsidiaries are rated A+ (Superior), Financial Size Category XV by A.M. Best Company and A+ (Strong), by S&P. For further information about Key Risk please visit www.KeyRisk.com The Company is an equal employment opportunity employer Responsibilities Key Risk is looking for an enthusiastic individual to gain additional experience and exposure to the fundamentals of data engineering, data analytics, and data science as a Data Engineer Trainee. The trainee will shadow and provide support to the Data Analytics, Data Reporting and Data Science functions for Key Risk and the Alternative Market Segment (AMS) of the W. R. Berkley Corporation. Another component of the training plan includes rotation assignments with various Key Risk departments, including Finance, Compliance, Underwriting, Claims and Client Experience to understand the needs of critical data and analytics to make well-informed and timely business decisions. Key Functionswill include but not be limited to: Building a core understanding of insurance data and operations and developing expertise with the tools used to deliver data and insight to decision makers across the enterprise; Working with Data Engineering teams across the enterprise to develop structured and unstructured data from various sources into analytic data sets suitable for BI Analytics, Data Reporting, and training of predictive models; Assisting Data Science teams across the enterprise to assist with evaluation, recalibration, and deployment of predictive models for Key Risk operational teams; Supporting Data Reporting needs in a highly regulated Financial Service environment; Providing programming support to enterprise Development Operations teams as needed in the deployment of predictive models; Automating of actuarial models and processes to improve efficiency across the group; Actively participate in Data Engineering, Data Reporting, BI Analytics and Data Science initiatives across the W.R. Berkley organization; Enthusiastically engage in Key Risk and W.R. Berkley Corporate initiatives including Innovation and Client Service Intimacy; Other responsibilities as assigned; Successful completion of training plan. Qualifications Bachelor's degree from four-year college or university with concentration in statistics, computer science, data analytics, actuarial science, mathematics, economics, finance, business, or related field Exposure to and a working knowledge of tools and programming languages such as Python, SQL and Power BI, an understanding of working in SQL and NoSQL database systems that are commonly used in BI Analytics, Data Management and Data Science; Comfort working with and organizing large data sets; Familiarity with version control using Git; Ability to organize, prioritize and manage multiple tasks in a fast-paced environment; Excellent verbal and written communication enabling effective communication to all levels of the organization; Understands the importance of timely and professional responsiveness; Curiosity and desire to learn and grow professionally and increase individual knowledge of workers compensation insurance; Committed to the highest standards of ethical behavior, honesty, and integrity. Additional Company Details We do not accept any unsolicited resumes from external recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

ref: (10440) 13 days ago

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Data Engineer Trainee job in High Point

High Point, North Carolina - NC Berkley

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