Intermediate Quantitative Analyst

Intermediate Quantitative Analyst Allstate - 3.6 Chicago, IL Job Details $124,000 - $165,000 a year 4 hours ago Qualifications Statistics Machine learning/AI-based analysis Statistics Financial model construction Computer Science Financial model development Big data Writing skills Valuation Mathematics Project timeline management Mid-level Bloomberg Finance SQL Investment research Statistical analysis Analysis skills Private equity Statistical modeling Data pipelines Linux AI Research findings presentation Project leadership Chartered Financial Analyst Quantitative research 2 years Communication skills Python Database software proficiency Full Job Description 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 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 $124,000.00 - $165,000.00 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. The candidate(s) offered this position will be required to submit to a background investigation. 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 making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the "EEO Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.