Quantitative Associate Analyst (Hybrid)

Allstate Insurance Company; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Join a leading insurance company as part of the Enterprise Economics & Risk Analysis team, where you'll perform quantitative analysis and contribute to risk modeling. This role offers the chance to impact decision-making at the highest levels while working in a flexible and inclusive environment.

Benefits

Flexible Leave

Healthcare

Pension

Discounts

Qualifications

• PhD in Econometrics or Master's with 3+ years in quantitative research.
• Experience in time series modeling and programming skills.

Responsibilities

• Research and implement time-series models across various risk types.
• Assist in managing the enterprise risk modeling framework.

Skills

Time Series Modeling

Programming

Communication

Education

PhD in Econometrics

Master’s + 3+ years’ experience

Tools

Matlab

R

Python

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. For more than 90 years, our innovative drive has kept us ahead of our customers’ evolving needs, from advocating for seat belts and air bags to leading in pricing sophistication, telematics, and device and identity protection.

Your role in the team

The Enterprise Economics & Risk Analysis (EERA) team is a cross-functional unit operating at the heart of decision-making at Allstate. The team quantifies and optimizes risk and return leveraging a comprehensive economic capital model. Led by the Chief Economist, the team has members in the USA and UK, reporting to the Chief Risk Officer, and providing 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. The role involves performing quantitative analysis and research, specifically dynamic multi-factor risk modeling and scenario analysis, and assisting in the development of our Economic Capital framework based on multivariate conditional time series analysis. The team comprises econometricians, economists, quantitative analysts, coders, and financial analysts.

Key responsibilities

1. Research, develop, and implement time-series models across investment, underwriting, and other risk types.
2. Assist in managing and improving the enterprise risk modeling framework and scenario analysis.
3. Support the Measurement Science Center of Excellence in designing and evaluating metrics for key Allstate initiatives.

Essential Skills

• Legal right to work in the UK; Allstate does not sponsor visas for this role.
• A PhD in Econometrics or a related economics field, or a Master’s degree with 3+ years of relevant experience.
• Experience in time series modeling.
• Programming skills in Matlab, R, or Python.

Desirable Skills

• Knowledge of Bayesian Econometrics.
• Experience in risk modeling.
• Understanding of macroeconomics, financial markets, and risk management.
• Ability to communicate complex ideas clearly to non-experts.
• Strong prioritization skills and ability to meet deadlines.

Supervisory Responsibilities

This position does not include supervisory duties.

Application Deadline

Thursday, 22nd May, 11:59 pm.

Join Our Team

Joining Allstate isn’t just a job — it’s an opportunity to develop your skills, challenge the status quo, and impact the future positively. We offer a flexible, inclusive environment recognized with multiple awards, empowering everyone to lead, innovate, and give back to the community.

What We Offer

As winners of Digital DNA’s Workplace of the Year 2020 & 2022, we provide a benefits package including flexible leave, healthcare, pension, and discounts. We invest in your development through world-class training, and offer clear career paths and internal mobility opportunities. We promote work-life balance with flexible working arrangements.

Equal Opportunity Statement

Allstate NI is committed to equal employment opportunities, welcoming applications from all qualified individuals. We particularly encourage women to apply, as they are under-represented in our workforce. All hires are subject to background checks through AccessNI.