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Phd In Statistics Jobs in Chicago, IL (NOW HIRING)

PHD preferred with strong foundation in statistics. * Provide in-depth statistical expertise in the areas of; experiment, protocol, case report form design, data base structure, and analysis plan ...

Senior Research Statistician (Hybrid)

North Chicago, IL · On-site

$83K - $102K/yr

MS (with 4+ years of experience) or PhD in Statistics, Biostatistics, or a highly related field. Other Required Skills: * High degree of technical competence and effective communication skills, both ...

Senior Research Statistician (Hybrid)

North Chicago, IL · On-site

$83K - $102K/yr

MS (with 4+ years of experience) or PhD in Statistics, Biostatistics, or a highly related field. Other Required Skills: * High degree of technical competence and effective communication skills, both ...

Masters or PhD in Statistics, Physics, Mathematics (or related subject) * Desire to work within a collaborative, team-driven environment * Reliable and predictable availability * Excellent written ...

New

Pursuing a bachelor's, masters or PhD in Statistics, Computer Science, Engineering, Mathematics (or a related subject) * Expertise in statistics and machine learning * Experience building ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Chicago, IL?

For Phd In Statistics jobs in Chicago, IL, the most frequently searched job titles are:

Infographic showing various Phd In Statistics job openings in Chicago, IL as of August 2026, with employment types broken down into 76% Full Time, 22% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Quantitative Trader - Statistical Arbitrage

Quant Blueprint LLC

Chicago, IL • On-site

$80 - $120/hr

Other

Medical, Retirement, PTO

Posted 16 days ago


Job description

Graduate Quantitative Researcher, PhD – Austin

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions foundational to Optiver's trading strategies.

Onboarding

You will participate in Optiver's comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The training covers trading theory and Optiver's tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Responsibilities
  • Using statistical models and machine learning to develop trading algorithms.
  • Leveraging big data technologies to analyze high‑frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
  • Building stochastic models to determine the fair value of financial derivatives.
  • Combining quantitative analysis and high‑performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.
Benefits
  • A performance‑based bonus structure unmatched anywhere in the industry; we combine our profits across desks, teams and offices into a global profit pool.
  • The opportunity to work alongside best‑in‑class professionals from over 40 different countries.
  • Ownership over initiatives that directly solve business problems.
  • 401(k) match up to 50% and fully paid health insurance.
  • 25 paid vacation days alongside market holidays.
  • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.
Who you are
  • PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements.
  • Expected graduation date by mid‑2025.
  • Availability to commence full‑time employment upon graduation in 2025.
  • Solid foundation in mathematics, probability, and statistics.
  • Excellent research, analytical, and modeling skills.
  • Independent research experience.
  • Proficiency in any programming language.
  • Knowledge of machine learning, time‑series analysis, pattern recognition, and NLP is a plus.
  • Strong interest in working in a fast‑paced, collaborative environment.
  • Fluent in English with strong written and verbal communication skills.
Diversity and Inclusion

Optiver is committed to diversity and inclusion.

Immigration Sponsorship

Optiver is supportive of US immigration sponsorship for this role.

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