Insurance & ALM Modeler — Hybrid

Transamerica Corporation; Baltimore (MD); Hybrid; USD 88,000 - 105,000; Full time

Benefits offered by this job

Competitive Pay

Bonus for Eligible Employees

Pension Plan

401k Match

Employee Stock Purchase Plan

Tuition Reimbursement

Health Insurance

Disability Insurance

Life Insurance

Paid Time Off

Wellness Program

Job summary

Transamerica Corporation is seeking a modeling professional to build and analyze sophisticated models for insurance products and portfolios in a hybrid office setting, including Baltimore. The role emphasizes actuarial, financial, statistical, and data science skills to enhance risk-adjusted returns.

The candidate should have a technical degree and 3+ years of modeling experience, with knowledge of MoSes/AXIS/ALFA and programming in Python or C++.

Qualifications

• Bachelor’s degree in a technical/quantitative discipline; three years modeling experience or a Master's degree.
• Knowledge of insurance liability, asset valuation, derivatives modeling, liquidity management, or AI/ML.
• Strong understanding of investment and finance concepts with analytical problem solving.

Responsibilities

• Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit risk.
• Support modeling of insurance liabilities, fixed-income assets and derivatives in actuarial systems.
• Collaborate with valuation, ALM, risk management and reporting stakeholders.
• Apply risk methodologies and build external/internal controls to mitigate risks.
• Develop models to simulate financial reporting processes.

Skills

Actuarial modeling

MoSes/AXIS/ALFA

Python

C++

Data analysis

Education

Bachelor’s degree in statistics/math/actuarial science/CS/economics/engineering or finance

Master's degree (preferred)

Tools

AXIS

ALFA

MoSes

SAS

R

Job description

Transamerica Corporation is seeking a modeling professional to build and analyze sophisticated models for insurance products and portfolios in a hybrid office setting, including Baltimore. The role emphasizes actuarial, financial, statistical, and data science skills to enhance risk-adjusted returns.

The candidate should have a technical degree and 3+ years of modeling experience, with knowledge of MoSes/AXIS/ALFA and programming in Python or C++.