Intermediate Quantitative Analyst

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

This role is responsible for performing quantitative analysis and research within the Risk and Return group of Allstate Investments. The primary focus of this role is private markets research and modeling, with additional exposure to asset allocation and multi-asset research. The role will support the development of quantitative models used in private asset research, portfolio construction, and strategic asset allocation.

This role is hybrid based out of our Chicago office.

Allstate will not sponsor individuals for employment-based visas for this opportunity

Key Responsibilities

• Lead independent quantitative model development, managing project timelines and deliverables end-to-end
• Research and develop models related to private markets, including return and cashflow modeling, portfolio analytics, and cross-asset integration
• Contribute to asset allocation and multi-asset research, including risk/return modeling and scenario analysis
• Maintain and enhance existing quantitative research infrastructure and models
• Communicate research findings and model results clearly to the research team and broader stakeholders

Job Qualifications

• Experience in statistical analysis and modeling, particularly time-series analysis and back testing of investment strategies
• Exposure to private markets analytics (e.g., private equity, private credit, real assets), including cash flow or return modeling, a plus
• Experience working with large-scale datasets and research pipelines
• Solid understanding of financial markets, statistics, and econometric analysis
• Good understanding of factor investing, asset valuation, and portfolio construction
• Strong programming experience in Python and SQL; Linux experience a plus
• Experience with market data vendors such as Bloomberg, Capital IQ, Preqin, Burgiss, or similar platforms
• Experience with machine learning and applied AI techniques a plus
• Strong problem-solving skills and ability to manage multiple priorities
• Strong oral and written communication skills

Supervisory Responsibilities

• This job does not have supervisory duties

Education and Experience

• 2+ years of experience in quantitative investment research; experience with multi-asset or private markets research preferred
• Advanced degree in quantitative discipline such as Quantitative Finance, Computer Science, Mathematics, Statistics, Econometrics, or a related field

Certifications, Licenses, Registrations

• Certifications, licenses, registrations, or other credentials required for this position will be specified in the hiring process.