ALM Analytics Internship: Build Tools & Insights

Allianz Group; Minneapolis (MN); On-site; USD 34,000 - 40,000; Full time

Job summary

Allianz Life in Minneapolis, MN invites an ALM Analyst Internship to develop tools and analyses that drive asset-liability management decisions. You'll work with actuarial and investment teams to translate model results into actionable strategies and gain exposure to multiple departments.

The role emphasizes coding, data analysis, and communication, with opportunities to use AI tools and contribute to regulatory and audit inquiries.

Qualifications

• Superior communication, programming and math skills.
• Experience using Excel, VBA and/or other programming languages.
• Robust data analysis skills for evaluation and interpretation of ALM metrics and trends.
• Leadership experience is a plus.
• Pursuing an undergraduate or graduate degree in mathematics, finance, economics, computer science, actuarial science, engineering, or related technical field.
• You must be legally authorized to work in the U.S. without sponsorship now or in the future.

Responsibilities

• Develop ALM tools and analysis to drive business impacts
• Utilize your technical skills and programming expertise to enhance ALM processes and drive efficiency improvements.
• Take charge of fundamental ALM processes and analyses to maximize asset selection for targeted liability business lines.
• Assist in responding to inquiries from external auditors, state regulators, and rating agencies to uphold transparency and compliance standards.
• Utilization of artificial intelligence tools and resources (e.g. generative AI).

Skills

Superior communication

Programming skills

Math skills

Leadership experience

Education

Undergrad/grad in mathematics, finance, economics, CS, actuarial science, engineering or related technical field

Tools

Excel

VBA

Other programming languages

Job description

Allianz Life in Minneapolis, MN invites an ALM Analyst Internship to develop tools and analyses that drive asset-liability management decisions. You'll work with actuarial and investment teams to translate model results into actionable strategies and gain exposure to multiple departments.

The role emphasizes coding, data analysis, and communication, with opportunities to use AI tools and contribute to regulatory and audit inquiries.