Quantitative Associate Analyst (Hybrid)

About Allstate

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 Summary

Your role in the team The Enterprise Economics & Risk Analysis (EERA) team is a cross-functional team operating at the heart of decision-making at Allstate. The team quantifies and optimizes risk and return for Allstate leveraging a comprehensive economic capital model. EERA is led by the Chief Economist and has team members in USA and UK. The team reports to the Chief Risk Officer and provides advice directly to the CEO, Senior Leadership Team and the Board of Directors.

This is an exciting opportunity to join the Economic Capital branch of EERA to support economic capital decision-making and business-wide risk analysis. This role is responsible for performing quantitative analysis and research, specifically dynamic multi-factor risk modeling and scenario analysis. The role will assist with the continued development of our Economic Capital framework, which is based on multivariate conditional time series analysis.

Key Responsibilities

• Research, develop and implement time-series models across underwriting, investments, and other risk types
• Assist in managing and improving the Enterprise risk modelling framework and scenario analysis
• Support the Measurement Science Center of Excellence in designing and evaluating metrics for key Allstate initiatives

Requirements

• All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. For exceptional candidates we may consider sponsorship.
• A PhD (or final year PhD student) in Econometrics or other economics related field of study, OR a Masters Degree & 3+ years’ experience in quantitative research or applied economics
• Prior experience in time series modeling
• Familiarity of Bayesian econometrics
• Programming experience in Matlab, R or Python

Desirable Skills

• Experience of risk modeling is a plus
• Solid understanding of macroeconomics, financial markets, and risk management is a plus

Supervisory Responsibilities

This job does not have supervisory duties.

Job Posting End Date: Tuesday 30th September [11:59pm]

#LI-PB1 #LI-Hybrid

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team.