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Intermediate Quantitative Analyst

$124k - $165k

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 Description This role is responsible for performing quantitative analysis and research within the Risk and Return group of Allstate Investments. The primary focus of this role is private markets research and modeling, with additional exposure to asset allocation and multi‑asset research. The role will support the development of quantitative models used in private asset research, portfolio construction, and strategic asset allocation. This role is hybrid based out of our Chicago office. Allstate will not sponsor individuals for employment-based visas for this opportunity. The candidate(s) offered this position will be required to submit to a background investigation. Key Responsibilities Lead independent quantitative model development, managing project timelines and deliverables end‑to‑end. Research and develop models related to private markets, including return and cashflow modeling, portfolio analytics, and cross‑asset integration. Contribute to asset allocation and multi‑asset research, including risk/return modeling and scenario analysis. Maintain and enhance existing quantitative research infrastructure and models. Communicate research findings and model results clearly to the research team and broader stakeholders. Job Qualifications Experience in statistical analysis and modeling, particularly time‑series analysis and back testing of investment strategies. Exposure to private markets analytics (e.g., private equity, private credit, real assets), including cash flow or return modeling, a plus. Experience working with large‑scale datasets and research pipelines. 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 market data vendors such as Bloomberg, Capital IQ, Preqin, Burgiss, or similar platforms. Experience with machine learning and applied AI techniques a plus. Strong problem‑solving skills and ability to manage multiple priorities. Strong oral and written communication skills.

SUPERVISORY RESPONSIBILITIES

This job does not have supervisory duties.

EDUCATION AND EXPERIENCE

2+ years of experience in quantitative investment research; experience with multi‑asset or private markets research preferred. Advanced degree in quantitative discipline such as Quantitative Finance, Computer Science, Mathematics, Statistics, Econometrics, or a related field.

CERTIFICATIONS, LICENSES, REGISTRATIONS

CFA designation a plus. Skills AI Ops, Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Multi Asset Investment, Private Markets, Python (Programming Language), Quantitative Investment, Results‑Oriented, Structured Query Language (SQL) Compensation Base compensation offered for this role is $124,000 - $165,000 annually and is based on experience and qualifications. Total compensation for this role is comprised of several factors, including the base compensation outlined above, plus AIP as applicable for the role. Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload. #J-18808-Ljbffr Allstate Insurance Company

Vacancy posted 5 days ago
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