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Phd Algorithmic Trading Jobs (NOW HIRING)

Anson McCade

Junior Quantitative Trader

Chicago, IL · On-site +1

... algorithmic trading models from ideation through production deployment • Analyze market ... BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance ...

Next Step Systems LTD

Senior Software Developer

Chicago, IL · On-site

$56.25 - $74.25/hr

PhD in mathematics, statistics, physics or engineering is preferred. Will consider candidates who ... Keywords: Chicago IL Jobs, Senior Software Developer, C++, Algorithmic Trading, Exchange ...

Next Step Systems

Senior Software Developer

Chicago, IL · On-site

$56.25 - $74.25/hr

PhD in mathematics, statistics, physics or engineering is preferred. Will consider candidates who ... Keywords: Chicago IL Jobs, Senior Software Developer, C++, Algorithmic Trading, Exchange ...

RBN Chicago

Lead Software Engineer

Chicago, IL · On-site

Company Description Our client has been at the forefront of algorithmic trading since its founding ... PhD preferred) 5+ years in hands-on software development for a software or financial company ...

BestEx Research

Execution Analyst

Stamford, CT · On-site

This role is designed as a foundational entry point into algorithmic trading analysis with a clear ... MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics ...

Bestex Research

Execution Analyst

Stamford, CT · On-site

This role is designed as a foundational entry point into algorithmic trading analysis with a clear ... MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics ...

RBN

Lead Software Engineer

Chicago, IL

Company Description Our client has been at the forefront of algorithmic trading since its founding ... PhD preferred) 5+ years in hands-on software development for a software or financial company ...

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Phd Algorithmic Trading information

What are the key skills and qualifications needed to thrive as a PhD Algorithmic Trading professional, and why are they important?

To thrive as a PhD Algorithmic Trading professional, you need advanced quantitative skills, a deep understanding of financial markets, and a PhD in a quantitative field like mathematics, physics, or computer science. Expertise in programming languages such as Python, C++, R, and experience with statistical modeling tools, machine learning frameworks, and trading platforms are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in cross-functional teams and adapt to fast-changing markets. These skills are crucial for designing robust trading algorithms, managing risk, and maintaining a competitive edge in the financial industry.

What types of projects or research initiatives are PhD-level Algorithmic Trading professionals typically involved with on a daily basis?

PhD-level professionals in algorithmic trading often work on developing, testing, and refining quantitative trading strategies using advanced statistical, mathematical, and machine learning models. Their daily tasks may include analyzing large datasets, implementing and optimizing algorithms, and collaborating with traders, data scientists, and software engineers to integrate models into live trading environments. They are also involved in ongoing research to identify new trading opportunities, adapt to changing market conditions, and ensure robust risk management. This dynamic environment offers continuous learning and the chance to see the direct impact of their work on trading performance.

What is a PhD in Algorithmic Trading?

A PhD in Algorithmic Trading is a doctoral degree focused on the study and development of automated trading systems that use algorithms to execute trades in financial markets. Researchers in this field apply advanced mathematical, statistical, and computational techniques to analyze market data, design trading strategies, and optimize performance. Graduates often work in quantitative finance, hedge funds, investment banks, or academia, specializing in areas such as machine learning, data analysis, and financial engineering.

What is the difference between Phd Algorithmic Trading vs Quantitative Researcher?

AspectPhd Algorithmic TradingQuantitative Researcher
Required CredentialsPhD in Finance, Computer Science, or related fieldsPhD or Master's in similar fields
Work EnvironmentTrading firms, hedge funds, proprietary trading desksFinancial institutions, hedge funds, research labs
Employer & Industry UsageHigh-frequency trading, market-making, proprietary tradingModel development, risk analysis, strategy research
Common Search & Comparison IntentUnderstanding roles in trading strategies and executionResearch focus, model development, data analysis

While both roles require advanced degrees and analytical skills, Phd Algorithmic Traders focus on developing and implementing trading algorithms in live markets, often working directly within trading firms. Quantitative Researchers primarily focus on developing models and strategies for investment or risk management, often in research or analytics departments. The roles overlap in skills but differ in application and environment.

Infographic showing various Phd Algorithmic Trading job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Junior Quantitative Trader

Anson McCade

Chicago, IL • On-site, Remote

Full-time

Posted 29 days ago

Job description

$175,000 USD
Discretionary Bonus
Onsite WORKING
Location: Chicago, Illinois - United States Type: Permanent
Our client is a proprietary trading firm specializing in electronic options market making. They take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Their team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. They emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
They operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.
What you'll do:
• Design and optimize systematic options trading strategies using quantitative research and machine learning techniques
• Build and refine algorithmic trading models from ideation through production deployment
• Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
• Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
• Manage real-time risk across a diversified portfolio of options positions
Qualifications and skills:
• Previous experience trading (1-2 years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systems
• BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
• Exceptional attention to detail
• Excellent quantitative and analytical skills
• Ability to take on many responsibilities quickly with a high degree of operational excellence
• Strong python programming skills

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