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Computer Science Economics Jobs in Illinois (NOW HIRING)

DRW Holdings, LLC.

Prediction Markets Trader

Chicago, IL · On-site

$150 - $200/hr

Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent. * Solid foundation in probability, statistics, time‑series analysis, and Bayesian ...

Vizient

Lead Data Scientist

Chicago, IL

Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. * 7 or more years of relevant experience required. * Demonstrated expertise in ...

Vizient, Inc

Lead Data Scientist

Chicago, IL · On-site

$150 - $200/hr

Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. * 7 or more years of relevant experience required. * Demonstrated expertise in ...

Vizient, Inc.

Lead Data Scientist

Chicago, IL · On-site

Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. 7 or more years of relevant experience required. Demonstrated expertise in ...

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Computer Science Economics information

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.

What are popular job titles related to Computer Science Economics jobs in Illinois?

For Computer Science Economics jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Computer Science Economics jobs in Illinois look for?

The top searched job categories for Computer Science Economics jobs in Illinois are:

What cities in Illinois are hiring for Computer Science Economics jobs?

Cities in Illinois with the most Computer Science Economics job openings:

Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in Illinois as of August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution.

Prediction Markets Trader

DRW Holdings, LLC.

Chicago, IL • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Key responsibilities

  • Monitor and trade active prediction market contracts in real time across platforms such as Polymarket and Kalshi.

  • Execute and optimize trading strategies including market making, microstructure arbitrage, cross-platform arbitrage, event-driven momentum, and statistical models.

  • Develop, backtest, and collaborate on models and infrastructure related to prediction markets and low-latency trading systems.

Job description

Jobs Locations Chicago , Greenwich , New York City , Remote

Employment type Full-time

Department Campus , Trading

Targeted Start Date Immediate

DRW is a major Chicago-based proprietary trading firm founded in 1992 by Don Wilson, specializing in diversified, technology-driven market-making and quantitative trading across asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency.

DRW is building out a dedicated prediction markets desk focused on platforms such as Polymarket and Kalshi. As a Prediction Markets Trader, you will develop, execute, and optimize high-conviction trading strategies in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven momentum, and statistical models. This role requires genuine, demonstrated passion for prediction markets, strong quantitative reasoning, and the ability to operate in thin, volatile, event-resolution-driven environments.

Core Responsibilities
  • Monitor and trade active markets in real time across Polymarket (CLOB/Gamma/Subgraph APIs) and Kalshi (FIX/WebSocket/REST).
  • Execute strategies including: market making with dynamic skew, microstructure arbitrage (order‑flow and book‑imbalance sniping), cross‑platform arb, news/event momentum (sub‑second reaction), and statistical pairs/mean‑reversion.
  • Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and ML for fair‑value estimation.
  • Collaborate with engineering on low‑latency infrastructure (API integrations, order engines, anomaly detection).
Required Qualifications
  • Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent.
  • Solid foundation in probability, statistics, time‑series analysis, and Bayesian methods.
  • Hands‑on experience with prediction market platforms (Polymarket and/or Kalshi APIs) or closely related domains (options, binary events, sports/event betting).
  • Genuine, demonstrated interest in prediction markets — we expect you to be actively engaged with the space (personal trading, deep reading of protocols, following major resolutions, contributing to discussions, etc.). This is non‑negotiable.
Highly Valued (but not strictly required)
  • Prior profitable trading experience in prediction markets, options, or event‑driven strategies (personal or professional).
  • Familiarity with blockchain/DeFi tools (ethers.js, Polygon RPC, USDC wallets).
  • Experience with low‑latency systems, FIX protocol, or Web3 integrations.
  • Track record of building and backtesting quantitative models with real historical data.
  • Deep domain knowledge of high‑impact events (politics, macroeconomics, climate, sports).
Who We’re Looking For

We are especially interested in exceptionally sharp, self‑motivated individuals — including strong campus hires and new graduates — who are obsessed with prediction markets and can demonstrate clear, substantive engagement with the space. If you’ve been actively trading Polymarket/Kalshi, analyzing resolutions, building personal models, or following the ecosystem closely, we want to talk to you.

Location

Flexible. US‑based preferred.

Pay and Benefits

The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long‑term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

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