Associate, Quantitative & Data Analytics

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.

Job Description
This associate role is within the Risk and Return group of Allstate Investments, rotating between the Quantitative research and Analytics teams. The teams are responsible for embedding quantitative and data driven tools and insights into Allstate's platforms to support asset allocation, public and private market investing. The teams leverage traditional statistical methods, advanced data science and machine learning algorithms, and generative AI models to integrate quantitative and data-driven insights into fundamental investment ('quantamental') processes.

The associate will support quantitative research, data sourcing and analysis. This role involves developing and maintaining quantitative investment models, conducting data-driven research, and supporting portfolio optimization across various asset classes. The candidate will collaborate with stakeholders to enhance risk analysis, performance attribution, and data infrastructure, leveraging advanced analytics and machine learning techniques to drive investment insights.

This role is part of Allstate Investments' two-year development program designed to cultivate future leaders in asset management. While the position is a two-year role, strong performers have been offered the opportunity to transition to a career-track opportunity. Successful associate candidates have also transitioned to roles at competitive firms, corporate development, and matriculated to top business schools. Where we can be helpful, we have leveraged our network in support of these transitions.

• Quantitative Analysis: Conduct in-depth financial and risk modeling, alpha signal research, and algorithm development to support trading strategies and investment decisions.
  • Support the development, back testing and performance tracking of quantitatively oriented investment strategies and portfolio optimization for asset allocation, fixed income, public equity and private assets
  • Work with risk management system in modeling assets, and assisting portfolio managers to analyze risk for various portfolios
  • Maintain and enhance existing credit and equity quant models, optimizers and Quantamental tools
  • Work with IT/Infrastructure resources in building and implementing quantitative investment systems and processes
• Data Analysis Analyze large datasets to uncover trends, patterns, and insights that drive business decisions. Utilize machine learning and statistical techniques to enhance data-driven strategies.
  • Work with key stakeholders to define data and analytics requirements to support Risk/Return objectives
  • Assist in the buildout of performance attribution and risk reporting frameworks
  • Apply analytical and quantitative approaches to analyze and process data
  • Identify and address data issues within investment tools
  • Interface with other investment data owners to ensure consistency across platforms
  • Validate calculation logic and quality of vendor analytics
  • Perform data analysis to evaluate quality and gaps of new data sources
  • Evaluate existing processes to identify opportunities to enhance disparate data
  • Identify relevant data required to support the development of Analytics Data Warehouse

• Senior pursuing a Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, or Data Science.
• 0 to 3 years experience in related field.

• Demonstrated analytical and programming skills, with familiarity in SQL, Python, and statistical tools preferred.
• Self-motivated and intellectually curious, with a strong passion for investment management and continuous learning.
• Proven ability to work independently to solve problems within defined tasks, leveraging team support as needed.
• Capable of drawing meaningful insights from data and communicating findings effectively under guidance.
• Strong verbal and written communication skills, with the ability to articulate ideas clearly to investment professionals.
• Experience with data visualization platforms such as Tableau or Power BI is a plus.