The \u003Cb>Temporary Life Insurance Underwriter \u003C/b>will provide support to the underwriting department by reviewing life rider applications, reinstatements, and other administrative underwriting functions. This role is responsible for evaluating risk, making decisions within established guidelines, and ensuring accurate documentation.\u003C/p>\u003Cp>\u003C/p>\u003Cp>The Temporary Underwriter also supports critical departmental functions such as agent license reviews, email box management, EFT processing, and response to underwriting requests. This is an excellent opportunity for someone who is detail-oriented, organized, and eager to gain underwriting experience while contributing to the success of the team.\u003C/p>\u003Cp>\u003C/p>\u003Cp>\u003Cb>LOCATION\u003C/b>: Remote role working from a US-based home.\u003C/p>\u003Cp>\u003C/p>\u003Cp>\u003Cb>PRINCIPAL DUTIES AND RESPONSIBILITIES\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Fire, Accident and Health and Life Rider Applications \u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>Review rider applications and identification.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Review in-force policy information, prior case files, and medical information.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Compare application information with policy administration system for discrepancies.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Determine if changes are allowed based on product rules.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Order vendor inquiries based on age/amount charts.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Evaluate risk using vendor information (medical records, Rx data, claims history, criminal checks, inspection reports, MVRs, paramedical exams, labs).\u003C/p>\u003C/li>\u003Cli>\u003Cp>Make underwriting decisions (issue, new app required, or decline).\u003C/p>\u003C/li>\u003Cli>\u003Cp>Generate decline or post-notification letters as applicable.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Communicate with agents and Policy Service.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Maintain detailed and accurate case file notes.\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003Cli>\u003Cp>\u003Cb>Response to Underwriting Requests\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>Review communications received from agents.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Complete related transactions in the policy administration system.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Update case notes, close images, and communicate with agencies.\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003Cli>\u003Cp>\u003Cb>Reinstatements\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>Review reinstatement applications, medical information, and policy system data.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Evaluate in-force policy history and risk.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Make reinstatement decisions based on available information.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Generate decline letters and communicate with agents and Policy Service.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Keep accurate case documentation.\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003Cli>\u003Cp>\u003Cb>Agent License Errors\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>Review application information in both the policy administration and licensing systems.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Communicate with agents and licensing department regarding discrepancies.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Update records in the policy administration system.\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003Cli>\u003Cp>\u003Cb>Underwriting Email Box\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>Review incoming emails from agents.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Upload relevant email content into case files.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Respond to generic inquiries.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Keep thorough documentation in case notes.\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003Cli>\u003Cp>\u003Cb>Key EFT (Electronic Funds Transfer)\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>Review application and policy administration data.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Accurately key EFT information into the policy administration system.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Document actions thoroughly in case files.\u003C/p>\u003C/li>\u003C/ul>\u003C/li>\u003Cli>\u003Cp>\u003Cb>Additional duties as assigned\u003C/b>\u003C/p>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cp>\u003Cb>POSITION QUALIFICATIONS\u003C/b>\u003C/p>\u003Cul>\u003Cli>\u003Cp>College degree or equivalent with some underwriting, insurance, or administrative experience preferred.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Strong attention to detail and organizational skills.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Ability to analyze data and apply underwriting guidelines.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Effective oral and written communication skills.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Ability to manage multiple priorities and deadlines.\u003C/p>\u003C/li>\u003Cli>\u003Cp>Intermediate proficiency with Microsoft Office Suite (Word, Excel, Outlook).\u003C/p>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cp>Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.\u003C/p>\u003Cp>\u003C/p>\u003Cp>Kemper is focused on expanding our Diversity, Equity, and Inclusion efforts to align with our vision, mission, and guiding principles. \u003C/p>\u003Cp>\u003C/p>\u003Cp>Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.\u003C/p>\u003Cp>\u003C/p>\u003Cp>Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. \u003C/p>\u003Cp>\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>","https://kemper.wd5.myworkdayjobs.com/kemper_careers/job/Remote-GA/Life-Insurance-Underwriter---CONTRACT---Remote_R-25-0033416",{"id":68,"name":69,"urlSafeSlug":69,"logo":70},[523],{"city":23,"region":23,"country":524},"Gabon","2025-08-27T00:00:00Z","Candidates should possess a college degree or equivalent experience, with a preference for prior underwriting, insurance, or administrative experience. Strong attention to detail, organizational skills, and the ability to analyze data and apply underwriting guidelines are essential. Effective communication, the capacity to manage multiple priorities and deadlines, and intermediate proficiency in Microsoft Office Suite (Word, Excel, Outlook) are also required.","The Life Insurance Underwriter will review life rider applications, reinstatements, and perform other administrative underwriting functions, evaluating risk and making decisions within established guidelines. This includes reviewing policy information, ordering vendor inquiries, evaluating risk using various data sources, and generating appropriate communication letters. The role also involves supporting agent license reviews, managing the underwriting email box, processing EFTs, and responding to underwriting requests, while maintaining accurate case file documentation and system updates.",{"employment":529,"compensation":532,"experience":533,"visaSponsorship":539,"location":540,"skills":541,"industries":556},{"type":530},{"id":111,"name":112,"description":531},"Commit to a standard 40-hour workweek, usually with full benefits.",{"minAnnualSalary":23,"maxAnnualSalary":23,"currency":23,"details":23},{"experienceLevels":534},[535,537],{"id":121,"name":122,"description":536},"Suitable for recent graduates starting their career.",{"id":168,"name":169,"description":538},"Gain initial job experience and develop your skills.",{"type":42},{"type":42},[542,543,544,545,546,547,548,549,550,551,552,553,554,555],"Life Insurance Underwriting","Risk Evaluation","Application Review","Policy Administration","Vendor Inquiries","Medical Records Review","Rx Data Analysis","Claims History Analysis","Criminal Background Checks","Motor Vehicle Records (MVR)","Paramedical Exams","Laboratory Results Analysis","Detail-Oriented","Organization",[557],{"id":135,"name":136},{"id":559,"title":560,"alternativeTitles":561,"slug":577,"jobPostId":559,"description":578,"isReformated":55,"applyUrl":579,"company":69,"companyOption":580,"locations":581,"listingDate":583,"listingSite":104,"isRemote":19,"requirements":584,"responsibilities":585,"status":107,"expiryDate":23,"isGoogleIndexed":55,"summary":586},"7d891bbc-a76b-4d11-b61f-d8ff6fda0981","Contract Data Engineer",[562,563,564,565,566,567,568,569,570,571,572,573,574,575,576],"Python Data Engineer Contract","SQL Data Engineer Contract","Snowflake Data Engineer Contract","AWS Data Engineer Contract","Data Pipeline Engineer Contract","ETL Developer Contract","Big Data Engineer Contract","Cloud Data Engineer Contract","Data Integration Engineer Contract","Machine Learning Data Engineer Contract","Data Platform Engineer Contract","Data Operations Engineer Contract","Contract Python Developer Data","Contract SQL Developer Data","Contract AWS Data Specialist","contract-data-engineer-7d891bbc-a76b-4d11-b61f-d8ff6fda0981","Employment Type: Full time\n\n\u003Cp style=\"text-align:left\">Location(s)\u003C/p>Remote-TX\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp>\u003Cb>Details\u003C/b>\u003C/p>\u003Cp>\u003Cb>\u003Cspan>POSITION SUMMARY\u003C/span>\u003C/b>\u003Cspan>: \u003C/span>\u003C/p>\u003Cp>We are seeking an experienced and motivated data engineer to join a Lean/Agile team building our data science and analytics operational platform. This is an exciting and challenging opportunity to help make transformative differences at Kemper.\u003C/p>\u003Cp>\u003C/p>\u003Cp>As an experienced engineer of data extraction, transformation, and persistence you will be designing and implementing various components of our data science collaboration and deployment platform\u003C/p>\u003Cp>Working closely with Data Science and Analytics professionals, you will develop automated, streaming data pipelines for event capture, transformation, and feature extraction to assist the machine learning process. The industry changes rapidly, so we are looking for candidates who can respond to change, pick up new technologies quickly and adapt to shifting requirements. We also want candidates who are production-oriented and have a commitment to quality.\u003C/p>\u003Cp> \u003C/p>\u003Cp>\u003Cb>\u003Cspan>PRINCIPAL DUTIES AND RESPONSIBILITIES\u003C/span>\u003C/b>:\u003C/p>\u003Cul>\u003Cli>Build and maintain event \u003Cspan>capture/transformation\u003C/span> flows, feature repositories, data cache for real-time analytics and more.\u003C/li>\u003Cli>Develop data pipelines that can be leveraged in both model training and production.\u003C/li>\u003Cli>Collaborate with Data Architecture and other Data Engineering groups maintaining a focus on operationalizing data flows in the service of data science and analytics groups.\u003C/li>\u003Cli>Development of code to extract value from various structured, semi-structured and unstructured data sources creating refined data repositories for ease of analysis.\u003Cbr /> \u003C/li>\u003C/ul>\u003Cp>\u003Cb>\u003Cspan>MINIMUM JOB REQUIREMENTS:\u003C/span>\u003C/b>\u003C/p>\u003Cul>\u003Cli>5+ years in data-related field\u003C/li>\u003Cli>Strong Python skills with Pandas, data structures, and efficient batch process scripting\u003C/li>\u003Cli>Strong SQL skills with relational databases and NoSQL (Snowflake, Microsoft SQL, Microsoft Dynamics, FetchXML, and others)\u003C/li>\u003Cli>Experience calling third-party REST APIs and working with JSON data\u003C/li>\u003Cli>Good understanding of Linux command line operations\u003C/li>\u003Cli>Experience with AWS cloud technologies including S3, EC2, ECR, no-trust environments, etc.\u003C/li>\u003Cli>Experience with developing data connections in/out of CRM or IVR systems\u003C/li>\u003Cli>Experience with the following technologies a plus:\u003Cul>\u003Cli>Workflow scheduling tools such as Airflow, windows scheduler, or crontab\u003C/li>\u003Cli>PySpark, Spark, Hadoop, Hive, SparkSQL etc.\u003C/li>\u003Cli>Experience in additional languages such as PHP, Perl, C#, Java, Scala helpful\u003C/li>\u003Cli>Asyncio, threading, multithreading, and other asynchronous coding frameworks\u003C/li>\u003Cli>ETL tooling solutions such as Control-M\u003C/li>\u003Cli>AI optimizations and integrating LLMs via AWS Bedrock or Custom Images\u003C/li>\u003Cli>Working with Dockerfiles and images\u003C/li>\u003C/ul>\u003C/li>\u003C/ul>\u003Cp>\u003C/p>\u003Cp>This position can be remote in the U.S.\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>\u003Cp style=\"text-align:inherit\">\u003C/p>","https://kemper.wd5.myworkdayjobs.com/kemper_careers/job/Remote-TX/Contract-Data-Engineer_R-25-0033447",{"id":68,"name":69,"urlSafeSlug":69,"logo":70},[582],{"city":23,"region":28,"country":29},"2025-09-02T00:00:00Z","Candidates should have over 5 years of experience in a data-related field, possess strong Python skills with Pandas and data structures, and have efficient batch process scripting capabilities. Proficiency in SQL with relational databases and NoSQL databases like Snowflake, Microsoft SQL, and Microsoft Dynamics is required. Experience with third-party REST APIs, JSON data, Linux command line operations, and AWS cloud technologies such as S3 and EC2 is also necessary. Experience with CRM or IVR data connections is beneficial.","The Data Engineer will design and implement components of a data science collaboration and deployment platform. They will build and maintain event capture/transformation flows, feature repositories, and data cache for real-time analytics. Responsibilities include developing automated, streaming data pipelines for event capture, transformation, and feature extraction to support machine learning processes. The engineer will also collaborate with Data Architecture and other Data Engineering groups, focusing on operationalizing data flows for data science and analytics teams, and develop code to extract value from various data sources into refined repositories.",{"employment":587,"compensation":589,"experience":590,"visaSponsorship":594,"location":595,"skills":596,"industries":606},{"type":588},{"id":111,"name":112,"description":531},{"minAnnualSalary":23,"maxAnnualSalary":23,"currency":23,"details":23},{"experienceLevels":591},[592],{"id":217,"name":218,"description":593},"Bring extensive experience to lead projects and mentor others.",{"type":42},{"type":42},[333,597,446,598,599,600,277,601,602,338,603,604,605],"Pandas","NoSQL","Snowflake","REST APIs","Linux","Data Pipelines","Data Science","Analytics","Machine Learning",[607,608,609],{"id":135,"name":603},{"id":135,"name":604},{"id":610,"name":611},"2f8d3a99-57b5-4365-b0e6-328b91298787","AI & Machine Learning",["Reactive",613],{"$ssite-config":614},{"env":615,"name":616,"url":617},"production","nuxt-app","https://jobo.world/",["Set"],["ShallowReactive",620],{"company-Keeper":-1,"company-jobs-82ba7eae-2c70-42b9-8a2f-cc12b52a7b50-carousel":-1},"/company/Keeper",{}]