2

Entry Level Algorithmic Trading Quant Jobs in Chicago, IL

... quantitative analysts, and investment teams. We're looking for a senior Node.js engineer to help ... You'll work on the infrastructure behind algorithmic trading tools, data ingestion pipelines, large ...

... our cutting-edge trading algorithms. You will be responsible for spotting new opportunities ... Collaborate with Traders, Quant Researchers and other Engineers both locally and globally * Develop ...

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

As a Quantitative Researcher , you will develop mathematical models using advanced statistical ... Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas ...

Build low‑latency trading systems and infrastructure * Develop quantitative libraries and research platforms * Optimize execution algorithms and risk systems Requirements * Financial markets and ...

As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing ... Develop, maintain, and improve trading strategies and algorithms * Solve complex problems to make a ...

As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing ... Develop, maintain, and improve trading strategies and algorithms * Solve complex problems to make a ...

Showing results 21-40

Entry Level Algorithmic Trading Quant information

See Chicago, IL salary details

$54.1K

$122.8K

$202.4K

How much do entry level algorithmic trading quant jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level algorithmic trading quant in Chicago, IL is $122,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $157,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry level algorithmic trading quants during their first year on the job?

Entry-level algorithmic trading quants often encounter challenges such as adapting to fast-paced environments where quick decision-making and consistent performance are essential. They may need to bridge the gap between academic theory and real-world market behavior, learning to develop, backtest, and refine trading strategies under time constraints. Collaborating with traders, developers, and risk managers is also crucial, requiring strong communication skills to ensure strategies are both technically sound and aligned with business goals. Additionally, staying current with evolving market data and technology platforms is a constant learning curve.

What does an entry level algorithmic trading quant do?

An Entry Level Algorithmic Trading Quant is responsible for developing, testing, and implementing mathematical models and computer algorithms to execute trades in financial markets automatically. They analyze large datasets to identify trading opportunities, optimize trading strategies, and manage risks. Typically, they work closely with senior quants, software engineers, and traders to ensure the performance and reliability of trading systems. Their role often includes coding, statistical analysis, and monitoring live trades to ensure algorithms function as intended.

What are the key skills and qualifications needed to thrive as an entry level algorithmic trading quant?

To thrive as an Entry Level Algorithmic Trading Quant, you need strong quantitative skills, programming proficiency (often in Python or C++), and at least a bachelor's degree in a technical field such as mathematics, computer science, or engineering. Familiarity with data analysis tools, financial modeling software, and version control systems like Git is typically required, and knowledge of financial markets or certifications like CFA can be beneficial. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills that set high performers apart. These competencies enable quants to develop robust trading strategies, identify market opportunities, and collaborate efficiently in a high-stakes, fast-paced environment.

What is the difference between Entry Level Algorithmic Trading Quant vs Quantitative Research Analyst?

AspectEntry Level Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, financial institutionsResearch labs, financial firms, asset managers
Employer & Industry UsageHigh-frequency trading, algorithmic trading teamsResearch-focused, model development for investments
Comparison Search IntentYesYes

Entry Level Algorithmic Trading Quants focus on developing trading algorithms used in live markets, often working directly with trading desks. Quantitative Research Analysts primarily conduct research to develop models and strategies that inform investment decisions. While both roles require strong quantitative skills and programming knowledge, the Trading Quant emphasizes implementation in trading environments, whereas the Research Analyst emphasizes model development and analysis.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Chicago, IL? The most popular types of Algorithmic Trading Quant jobs in Chicago, IL are:
What are popular job titles related to Entry Level Algorithmic Trading Quant jobs in Chicago, IL? For Entry Level Algorithmic Trading Quant jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithmic Trading Quant jobs in Chicago, IL look for? The top searched job categories for Entry Level Algorithmic Trading Quant jobs in Chicago, IL are:
Infographic showing various Entry Level Algorithmic Trading Quant job openings in Chicago, IL as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $122,758 per year, or $59 per hour.

NodeJS Engineer / FinTech Startup

Motion Recruitment

Schaumburg, IL • On-site

$50.50 - $65.50/hr

Other

Medical, Dental, Vision, PTO

Re-posted 3 hours ago


Job description

We’re looking for a Senior Node.JS Engineer to join a venture-backed fintech company building a next-generation platform for automated technical analysis and trading workflows. Our software brings institutional-grade analytics, pattern recognition, signal generation, backtesting, and automated execution, to professional traders, quantitative analysts, and investment teams.
I this role, you’ll help evolve the backend systems that power a high-performance trading and analytics platform. You’ll work on the infrastructure behind algorithmic trading tools, data ingestion pipelines, large-scale testing engines, and a custom scripting environment used by thousands of active market participants.
Required Skills & Experience
  • 2+ years of professional Node.JS development experience
  • Solid understanding of
    • Event loop & async architecture
    • Performance bottlenecks in Node.js
  • Experience working with large datasets or high-throughput systems
  • PostgreSQL knowledge:
    • Query optimization
    • Indexing strategies
    • Handling large writes
  • Experience debugging production issues
Desired Skills & Experience
  • Experience with
    • Performance profiling (CPU/memory)
    • Load testing techniques
    • Distributed systems or microservices
  • Understanding of:
    • Serialization formats (JSON, protobuf)
    • Data pipeline design
  • Familiarity with:
    • Terraform
    • Monitoring tools (Datadog, CloudWatch)
    • Blue-green or zero-downtime deployments

The Offer
  • Equity eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-EM1