Investments Intermediate Quantitative Analyst (Hybrid)

This role is responsible for performing quantitative analysis and research within the Risk and Return group of Allstate Investments. Areas of primary focus will include asset allocation, alternative investing and econometric modeling. The role will also assist with private market research and development of quantitatively oriented investment strategies.

This position is a hybrid role based out of our Chicago office, meaning your schedule may consist of time in an office setting and time working remotely from your home. The hybrid model is intended to provide greater flexibility – and will mean something different to each team, job and employee. Office presence is driven by the nature of the work and team needs. You’ll work from home for the remainder of the time you’re not in the office. This position is eligible for a monthly connectivity reimbursement to offset the costs of internet and phone expenses.

Key Responsibilities:

• Assist senior quantitative analyst with development and back testing of quantitatively oriented investment strategies
• Perform independent model development, manage project timeline and deliverables end to end
• Research and develop models for asset allocation and private markets, construct and track performance of alternative risk premia based portfolios
• Maintain and enhance existing quantitative models
• Communicate and present work to the research team

Education and Certification:

• Advanced degree in quantitative discipline including Quantitative Finance, Computer Science, Mathematics, Statistics, Econometrics, or similar fields
• CFA designation a plus

Functional Skills:

• 2+ years’ experience in quantitative research in multi-asset investing preferred
• Desired credentials include experience in statistical analysis and modeling, especially modeling of time series data and back testing of investment strategies
• Experience with large scale data processing
• 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 Bloomberg, Aladdin, and market data vendors
• Experience with machine learning and generative AI a plus
• Strong problem-solving skills and ability to meet tight deadlines
• Strong oral and written communication skills

Supervisory Responsibilities:

• This job does not have supervisory duties.