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

Allstate Investments manages approximately $66 billion of assets. Our goal is to provide sustainable, competitive, risk-adjusted investment returns and investment related services for the benefit of The Allstate Corporation. We attribute our successful track record in large part to the quality of our people. The size of the investment group exceeds 300 individuals across a variety of investment disciplines including, fixed income, equities, private securities, commercial mortgages and derivative asset classes, as well as, finance and technology. We recognize that our employees are our ultimate advantage and we seek to attract and retain highly qualified individuals with strong academic backgrounds, a deep interest in investments and a desire to be challenged. You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount.  

This role is responsible for conducting quantitative analysis and research within the Risk and Return group at Allstate Investments. Key areas of focus will be Systematic Fixed Income Credit, including Corporate Credit (Investment Grade, High Yield, and Bank Loans), and Municipal Bonds. The position will support the research and development of data-driven, quantitatively oriented investment strategies across these asset classes.

This position is a hybrid role, meaning your schedule may consist of time in an office setting and time working remotely from your home. The hybrid model is intended to provide greater flexibility – and will mean something different to each team, job and employee. Office presence is driven by the nature of the work and team needs. You’ll work from home for the remainder of the time you’re not in the office. This position is eligible for a monthly connectivity reimbursement to offset the costs of internet and phone expenses. 


This role is hybrid based out of our Chicago office.

Key Responsibilities

• Contribute to the development and implementation of systematic investment models, primarily within fixed income, as well as across other asset classes. Design and build both top-down and bottom-up quantitative models for asset allocation, security selection, and credit risk management. 

• Assist senior quantitative analysts in the development and backtesting of quantitatively driven investment strategies.
• Lead independent model development projects, managing timelines and deliverables from start to finish. Effectively communicate and present research findings to the research team
• Support and enhance existing quantitative models and associated applications. Collaborate with the production support team as needed to resolve any production-related issues.
• Address portfolio manager and research analyst inquiries related to models, providing timely and thorough responses.

Supervisory Responsibilities  

• This job does not have supervisory duties. 

Education and Experience

• Advanced degree (Master’s or higher) in a quantitative discipline such as Quantitative Finance, Computer Science, Mathematics, Statistics, Econometrics, or a related field
• 4+ years of experience in quantitative research within fixed income investing preferred, or alternatively, a PhD with 2+ years of experience.
   

Certifications, Licenses, Registrations

• CFA designation or progress towards CFA a plus

Functional Skills

• Expertise in statistical analysis and modeling, particularly in modeling time series data and back testing investment strategies
• Proficiency with large scale data processing
• Solid understanding of financial markets, statistics, and econometric analysis
• Working knowledge of factor investing, asset valuation and portfolio construction
• Advanced programming skills in Python and SQL. Matlab and Linux experience a plus
• Familiarity with Bloomberg, Aladdin, Capital IQ, and other market data vendors
• Experience with machine learning techniques
• Excellent problem-solving skills and ability to meet tight deadlines.
• Strong oral and written communication skills

Education & Experience (in lieu)

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

  #LI-MC1

Skills

Asset Allocation, Investments, Mathematical Finance, Python (Programming Language), Quantitative Analysis, Quantitative Models, Quantitative Research, Statistical Models, Statistics, Structured Query Language (SQL)

Compensation

Compensation offered for this role is $110,000.00 - 158,750.00 annually and is based on experience and qualifications.

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. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Good Hands. Greater Together.

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.

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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.