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Phd Python Jobs in Illinois (NOW HIRING)

... and Python Understanding of large scale real-time distributed computer systems Knowledge of ... PhD preferred) 5+ years in hands-on software development for a software or financial company ...

Quantitative Researcher

Chicago, IL · On-site

$200K - $400K/yr

An advanced degree, such as a Master of Science or PhD from a top university in a STEM field of study. * Advanced coding proficiency in Python, in addition to familiarity and willingness to learn C+

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ... MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory) Why you ...

... and Python Understanding of large scale real-time distributed computer systems Knowledge of ... PhD preferred) 5+ years in hands-on software development for a software or financial company ...

S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working ...

Advanced proficiency in R, Python, or comparable statistical computing environments (such as ... Preferred : • PhD in Economics, Econometrics, or an equivalent quantitative discipline, such as ...

Required : • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related ... Python • Proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance ...

... Python, R or Julia Demonstrated experience working with large, complex datasets using big data ... PhD in Mathematics, statistics, Physics, Computer Sciences or Engineering, or related field ...

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Phd Python information

What Python jobs are in-demand?

Python developers are in high demand across industries such as technology, finance, healthcare, and data science. Common roles include data scientist, machine learning engineer, backend developer, and automation engineer, often requiring knowledge of frameworks like Django or Flask and proficiency in data analysis tools. These positions typically value strong programming skills, problem-solving ability, and experience with cloud platforms and version control systems.

Can we do PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students pursue doctoral degrees in related areas and use Python as a primary tool for research and development. Earning a PhD requires completing original research, coursework, and a dissertation in a relevant field, with proficiency in Python being a valuable skill for data analysis, machine learning, and software development.

What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

Is Python in high demand?

Python is in high demand across many industries, especially for roles involving data analysis, machine learning, web development, and automation. Python developers with skills in frameworks like Django or Flask and experience with libraries such as Pandas or TensorFlow are highly sought after in the job market.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or PyTorch. These positions can offer salaries exceeding $150,000 annually, especially with experience, certifications, and work in finance, tech, or research environments.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
What cities in Illinois are hiring for Phd Python jobs? Cities in Illinois with the most Phd Python job openings:

Principal Quantitative Researcher - Systematic

CTC Lateral - Website & LinkedIn

Chicago, IL

Other

Re-posted 7 days ago


Job description

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. We are seeking a Principal Quantitative Researcher to partner with Trading and Technology to drive new revenue, scale, and evolve the firm's trading capabilities. In this role, you will lead research areas, influencing the direction of the team in a dynamic environment. This includes partnership with other researcher managers, traders and engineers on quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design. 

Take advantage of this opportunity to apply the scientific method to business problems as part of the Quant team at CTC! 

What You'll Do
  • Define and articulate a long-term vision that will lead to new sources of revenue, evolving with business needs and market structure 
  • Conduct commercially focused revenue generating research, while supporting others with their research 
  • Develop a structured roadmap and ensure quant functions remain focused, aligned, and accountable 
  • Direct development of innovative infrastructure across pricing models and research platforms 
  • Foster coordination across risk management, development, and quantitative research to drive measurable business impact 
  • Provide thought leadership while applying academic rigor to practical trading applications  
What We're Looking For
  • PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Physics, Operations Research, Electrical Engineering) strongly preferred 
  • Experience in a top systematic trading team of which at least 10 years as a quantitative researcher 
  • Proven ability to conduct independent, high-quality research 
  • Demonstrable track record of generating positive PnL 
  • Exceptional ability to communicate complex ideas and research results, both in writing and verbally 
  • Experience with the software development lifecycle with advanced programming skills 
  • Unique combination of analytical prowess, programming skills, and acute understanding of business 
  • Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes 
  • Strong Python skills including Numpy and Pandas libraries 
Nice to Haves
  • Management experience leading a healthy and empowered team, driving accountability. 
  • Experience with a wide variety of market and alternative data  
  • Expertise in US options markets, options pricing models, volatility surfaces, and risk management techniques  
  • Strong Python skills including Numpy and Pandas libraries  
  • Strong track record of publications in an industry setting