Quantitative Associate Analyst (Hybrid)

At Allstate, great things happen when our people work together to protect families and their belongings from lifes uncertainties.

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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.

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.

The team has a wide range of skill sets, including econometricians, economists, quantitative analysts, coders and financial analysis Key responsibilities Research, develop and implement time-series models across investment, underwriting 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 Essential Skills All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate.

Allstate is not providing sponsorship for this vacancy.

A PhD in Econometrics or other economics related field of study, OR a Masters Degree & 3 years experience in quantitative research or applied economics Prior training or experience in time series modeling Programming experience in Matlab, R or Python Desirable Skills Knowledge of Bayesian Econometrics Experience of risk modeling is a plus Solid understanding of macroeconomics, financial markets, and risk management is a plus An ability to communicate complex ideas and analysis into practical terms for non-experts Ability to prioritize work and meet tight deadlines Supervisory Responsibilities This job does not have supervisory duties.

Job Posting End Date: Thursday 22nd May [11:59pm]
Remote working/work at home options are available for this role.