Novacore

Account Manager

• Drive expansion of the Shield business by proactively seeking out and acquiring new clients
• Understand prospective clients’ specific needs and offer solutions
• Build strong relationships to facilitate business growth
• Engage with potential clients in the field and promote Shield’s products
• Obtain new agent appointments
• Visit and call current appointed agents
• Make calls, send emails, and attend virtual meetings to maintain relationships with new and current agents
• Visit potential new agents and current agents
• Retain awareness of connections, sales, and terms and maintain records in Salesforce
• Follow up and maintain existing relationships while developing new relationships
• Identify cross-sell opportunities for other insurance lines

Account Manager – Insurance Sales

General

• Responsible for building a portfolio of business in alignment with a set budget expectation.
• Provide leadership in accordance with the company's vision, mission and values while providing direct supervision, training and guidance to the underwriting department.
• Maintain and conform to all underwriting guidelines for all company procedures, rate levels and underwriting authorities domestic and foreign.
• Be a part of strategic discussions regarding expansion into additional states and/or territories.
• Communicate effectively with the internal and external teams on accountability of goal setting and strategic sales initiatives.
• Generate a profitable portfolio with a focus on underwriting discipline and annual monthly/yearly premium goals.
• Protect the core best practices to ensure alignment and execution.

P&C Underwriter – Commercial Real Estate

Data Scientist

• Build and maintain the models that evaluate inbound requests in real time — scoring quality, flagging risk signals, and routing items to the right handling path before a human reviews them.
• Train classification and ranking models on historical outcome data (accepted, declined, loss events) to predict account quality and prioritize review queues — similar in structure to fraud scoring at fintechs, patient risk stratification in healthcare, or lead scoring in high-volume sales platforms.
• Integrate structured and unstructured third-party data signals as model features: geospatial layers, firmographic data, external risk indicators, and document-extracted fields.
• Serve model outputs via API so scores and flags appear natively inside workflow tools used by the operations team — your model is a product feature, not a report.
• Translate business rules and decisioning criteria into machine-executable logic that can be applied programmatically at intake — moving decisions that currently require human judgment into automated or assisted pathways.
• Build and own the feature engineering pipelines that feed these models: normalizing inputs, handling missing data, encoding categorical variables, and enriching records with external data sources.
• Develop model explainability layers so end users understand why a record was scored or routed a particular way — a requirement for user trust and, in our industry, regulatory defensibility.
• Own the full deployment lifecycle: containerize models, write inference APIs, coordinate with engineering on production integration, and set up monitoring for model drift and performance degradation over time.
• Build pipelines to extract structured data from unstructured documents: forms, PDFs, emails, and attachments that arrive as part of the intake workflow. Apply NLP and LLM-based extraction techniques to reduce manual data entry and improve the completeness of records entering the decision workflow.

Account Manager – Insurance Sales

P&C Underwriter – Commercial Real Estate

Applied Data Scientist