Quantitative Engineer
Atlanta, GA · On-site
Ability to implement quantitative algorithms and develop automated tests using a scripting ... markets, financial trading environment, or equity brokerage business and exposure to futures ...
Quantitative Engineer
Atlanta, GA · On-site
Ability to implement quantitative algorithms and develop automated tests using a scripting ... markets, financial trading environment, or equity brokerage business and exposure to futures ...
Quantitative Engineer
Atlanta, GA · On-site
$150 - $200/hr
Ability to implement quantitative algorithms and develop automated tests using a scripting ... markets, financial trading environment, or equity brokerage business and exposure to futures ...
Quantitative Engineer
Atlanta, GA · On-site
$150 - $200/hr
Ability to implement quantitative algorithms and develop automated tests using a scripting ... markets, financial trading environment, or equity brokerage business and exposure to futures ...
Quantitative Engineer
Atlanta, GA · On-site
Ability to implement quantitative algorithms and develop automated tests using a scripting ... markets, financial trading environment, or equity brokerage business and exposure to futures ...
Quantitative Engineer
Atlanta, GA · On-site
Ability to implement quantitative algorithms and develop automated tests using a scripting ... markets, financial trading environment, or equity brokerage business and exposure to futures ...
We are recruiting hardworking, entrepreneurial entry level-traders for remote positions in our ... plus black box/algorithmic systems * Daily trading reviews with experienced traders for ...
We are recruiting hardworking, entrepreneurial entry level-traders for remote positions in our ... plus black box/algorithmic systems * Daily trading reviews with experienced traders for ...
Conduct business case analyses, trade studies, and economic analyses. * Assist program managers in ... * Entry level to one year of experience. Relevant education/experience in quantitative analysis ...
Conduct business case analyses, trade studies, and economic analyses. * Assist program managers in ... * Entry level to one year of experience. Relevant education/experience in quantitative analysis ...
The Estimator -- Sales position is the first/entry level in our Estimating track. This position ... Maintain a construction schedule and work with trades and management to ensure work is completed on ...
The Estimator -- Sales position is the first/entry level in our Estimating track. This position ... Maintain a construction schedule and work with trades and management to ensure work is completed on ...
Junior Estimator
Tucker, GA · On-site
The Estimator -- Sales position is the first/entry level in our Estimating track. This position ... Maintain a construction schedule and work with trades and management to ensure work is completed on ...
Junior Estimator
Tucker, GA · On-site
The Estimator -- Sales position is the first/entry level in our Estimating track. This position ... Maintain a construction schedule and work with trades and management to ensure work is completed on ...
Entry Level Algorithmic Trading Quant information
See Atlanta, GA salary details
$50.5K - $63.1K
4% of jobs
$63.1K - $75.7K
17% of jobs
$77.5K is the 25th percentile. Wages below this are outliers.
$75.7K - $88.3K
29% of jobs
$88.3K - $100.8K
0% of jobs
$100.8K - $113.4K
2% of jobs
$113.4K - $126K
7% of jobs
$126K - $138.6K
7% of jobs
$145.3K is the 75th percentile. Wages above this are outliers.
$138.6K - $151.2K
16% of jobs
$151.2K - $163.8K
7% of jobs
$163.8K - $176.4K
5% of jobs
$176.4K - $189K
5% of jobs
$50.5K
$114.6K
$189K
How much do entry level algorithmic trading quant jobs pay per year?
As of Sep 9, 2026, the average yearly pay for entry level algorithmic trading quant in Atlanta, GA is $114,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $146,700.00 per year, depending on experience, location, and employer.
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 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 is the difference between Entry Level Algorithmic Trading Quant vs Quantitative Research Analyst?
| Aspect | Entry Level Algorithmic Trading Quant | Quantitative Research Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Math, CS, or Finance; programming skills | Bachelor's or Master's in Math, Stats, or Finance; programming skills |
| Work Environment | Trading firms, hedge funds, financial institutions | Research labs, financial firms, asset managers |
| Employer & Industry Usage | High-frequency trading, algorithmic trading teams | Research-focused, model development for investments |
| Comparison Search Intent | Yes | Yes |
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 Atlanta, GA?
The most popular types of Algorithmic Trading Quant jobs in Atlanta, GA are:
What are popular job titles related to Entry Level Algorithmic Trading Quant jobs in Atlanta, GA?
For Entry Level Algorithmic Trading Quant jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithmic Trading Quant jobs in Atlanta, GA look for?
The top searched job categories for Entry Level Algorithmic Trading Quant jobs in Atlanta, GA are:
Quantitative Engineer
Atlanta, GA • On-site
Intercontinental Exchange Holdings, Inc. •
Finance and Insurance • 5 - 10K employees5,001 - 10,000 employees
Full-time
Posted 19 days ago
Job description
Overview
Job Purpose
Intercontinental Exchange is looking for a Quantitative Engineer to be a part of our team. This role resides within the Clearing Technology segment of ICE. Clearing technology provides automation of risk management and modeling to ensure that markets can operate rapidly and efficiently while minimizing the likelihood of adverse outcomes during market volatility. The Quantitative QA role brings expertise in financial mathematics and technology to the clearing technology group.
You must be results-oriented, self-motivated and have the ability to thrive in a fast-paced environment. This role requires frequent interaction with project managers, developers, product managers, and risk management/quantitative analysts in order to ensure that we deliver a quality clearing house risk platform to our users. Analytical skills and the ability to understand and test quantitative risk assessment/margin calculation models are crucial for the role.
Responsibilities
- Develop reference implementations for testing platform applications, based on technical business requirements
- Review technical requirements with quantitative models terminology to produce test strategies, test scenarios, and test cases
- Implement, maintain, and troubleshoot test harnesses, including implementations for various quantitative models
- Define test scenarios and develop/maintain automated test cases
- Create test plans, defining test scope, resources, dependencies, risks, and the overall strategy for testing complex software systems
- Perform all aspects of verification, including functional, regression, system, and integration testing for applications designed using multi-tiered-based architecture
- Deploy application builds and maintain test environments
- Perform troubleshooting of software / hardware configuration problems
- Demonstrate a passion for finding software bugs in complex algorithms
Knowledge and Experience
- M.S. or higher in a Financial Engineering, Mathematics, or Computer Science related discipline
- Experience with modeling/statistical analysis tools such as Python, R, or MATLAB
- Ability to implement quantitative algorithms and develop automated tests using a scripting/programming language
- Ability to write and execute customized SQL queries against Oracle DB
- Ability to calculate customized statistics on large sets of data
- Ability to understand use Python code and spreadsheets containing financial engineering formulas
- Must have understanding of derivatives markets and options/asset pricing models
- Must be comfortable with working across systems in a high tech software development environment
- Progress toward CFA, FRM, or similar credentials a plus
- 2+ years' experience with commodity markets, financial trading environment, or equity brokerage business and exposure to futures markets is a plus
- Value at Risk (VaR), parametric, Historical Simulation, or other portfolio risk management understanding a plus
- Must have excellent communication skills
About IntercontinentalExchange
Sourced by ZipRecruiter
Industry
Finance and insurance, securities and commodity exchanges and it services
Company size
5,001 - 10,000 Employees
Headquarters location
Atlanta, GA, US