Life Insurance Jobs in Peoria, IL

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Looking for Life Insurance jobs in Peoria, IL? Browse our curated listings with transparent salary information to find the perfect Life Insurance position in the Peoria, IL area.

Key Account Manager - Hematology - Illinois/Michigan Territory

Company: EVERSANA

Location: Chicago, IL

Posted Feb 02, 2025

EVERSANA is a global company with over 7000 employees, committed to creating and delivering next-generation commercialization services to the life sciences industry. They are proud to be certified as a Great Place to Work and prioritize improving patient lives around the world. They are seeking an experienced Oncology Key Account Manager to manage a defined geography and support the launch of Lymphir to hematology-oncology and dermatology practices in the US. The role involves managing sales revenue goals, developing KOLs, establishing professional relationships with HCPs, and maintaining expertise in patient-related services. The ideal candidate should have significant oncology sales experience, in-depth knowledge of oncology treatments, and established relationships with key stakeholders in the oncology field.

Senior Applied Machine Learning Scientist- AI Agents

Company: Grainger

Location: Chicago, IL

Posted Feb 02, 2025

Grainger, a leading industrial distributor, is seeking a Senior Applied ML Scientist to drive cutting-edge generative AI solutions. The role involves building and maintaining Agentic processes, working closely with other ML scientists, engineers, and product managers, and designing robust data pipelines. The company offers competitive compensation, comprehensive benefits, and a commitment to equal employment opportunity. The position is part of Grainger's Product Discovery team, which aims to enable customers to find what they need when they need it.

Principal Enterprise Risk Management, Risk Insights, Reporting, and Analytics

Company: Discover

Location: Chicago, IL

Posted Feb 02, 2025

Discover offers a bright future with meaningful work from day one. The company values individuality and encourages growth. The role involves designing, developing, and maintaining the company's Enterprise Risk Management (ERM) Policy and Framework. The ideal candidate should have a Bachelor's degree in a relevant field and 6+ years of experience in Risk Management, Financial Services, or a related field. Bonus points for a Masters degree, RIMS certification, and experience with data manipulation and analysis tools. The position offers a competitive salary and benefits package, including paid parental leave, 401k, medical, dental, and vision coverage, and more. Discover is committed to a diverse and inclusive workplace.

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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