Remote Actuarial Intern - Data, Analytics & Pricing

Voya Financial, Inc.; Northern (KY); Hybrid; USD 23,000 - 29,000; Full time

Job summary

Voya Financial, Inc. is offering an actuarial internship designed for undergraduate or graduate students who will graduate December 2027 or later.

You will work closely with your manager as an integral member of the assigned team, performing actuarial tasks and data-driven analyses relevant to loss reserves, disclosures, premiums, and pricing levels. The role emphasizes technical skills such as Excel, Access, SQL, and Python, with a strong preference for candidates with knowledge of finance,

Qualifications

• Undergraduate or Graduate students with anticipated graduation date of December 2027 or later in a field such as Data Analytics, Mathematics, Actuarial Science, Risk Management or Computer Science and a GPA of 3.2+.
• Technical experience with Excel and Visual Basic, Access and SQL, or Python is a plus.
• Knowledge of finance, insurance industry, investment, or actuarial fields is preferred.
• Understanding of insurance products and operations is beneficial.
• Detail oriented with strong analytical problem-solving skills.

Responsibilities

• Perform actuarial tasks of a mathematical nature and higher clerical duties.
• Compile and categorize data for computations (loss reserves, rate filings, statements, premiums, benefits) and establish pricing levels.
• Participate in other duties and projects as assigned.

Skills

Data analytics

Mathematics

Actuarial science

Risk management

Computer science

Education

Bachelor's or Master’s degree in a relevant field

Tools

Excel

Visual Basic

Microsoft Access

SQL

Python

Job description

Voya Financial, Inc. is offering an actuarial internship designed for undergraduate or graduate students who will graduate December 2027 or later.

You will work closely with your manager as an integral member of the assigned team, performing actuarial tasks and data-driven analyses relevant to loss reserves, disclosures, premiums, and pricing levels. The role emphasizes technical skills such as Excel, Access, SQL, and Python, with a strong preference for candidates with knowledge of finance,