Quantitative Analyst II at Chubb

Urbandale, Iowa, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Analysis, R, Python, Model Development, Automation, Statistical Learning, Econometric Modeling, Time-Series Analysis, Predictive Modeling, Machine Learning, Regression Models, Classification Methods, Ensemble Methods, Clustering, Project Management

Industry

Insurance

Description

Essential Job Duties and Responsibilities • Conduct advanced quantitative analysis using large structured and unstructured datasets from internal and external sources. • Develop analytical solutions using R or Python, including model development, automation, and reproducible analytical workflows. • Apply statistical learning, econometric modeling, and time-series analysis to identify trends, forecast outcomes, and support business decisions. • Assist with additional analytical initiatives and cross-functional projects as required. Knowledge, Skills, and Abilities • Advanced knowledge of predictive modeling, statistical modeling, and econometric methods. • Demonstrated programming ability in R or Python, including experience building production-level analytical tools. • Experience applying machine learning techniques such as regression models, classification methods, ensemble methods, or clustering. Professional Competencies • Strong organizational and project management skills. • Ability to work independently while also contributing to collaborative team environments. • Ability to remain calm and professional in fast-paced analytical environments. Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Responsibilities

The role involves conducting advanced quantitative analysis using large datasets to develop analytical solutions, including model development and automation using R or Python. This includes applying statistical learning, econometric modeling, and time-series analysis to forecast outcomes and support business decisions.