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Entry Level Algorithmic Trading Quant Jobs in Georgia

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

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 ...

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

What are the key skills and qualifications needed to thrive as an Entry Level Algorithmic Trading Quant, and why are they important?

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 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 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 Georgia? The most popular types of Algorithmic Trading Quant jobs in Georgia are:
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Quant Researcher, Trading

Quant Researcher, Trading

Invesco

Atlanta, GA • Hybrid

$120K - $160K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Job description

About Invesco

As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

What's in it for you?

Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:

  • Flexible paid time off

  • Hybrid work schedule

  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution

  • Health & wellbeing benefits

  • Parental Leave benefits

  • Employee stock purchase plan

Job Description

About the Role:

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading Research team, where they will help generate trading insights and improve execution outcomes across global markets and asset classes. The role combines quantitative research, market and trading data analysis, transaction cost analysis, and tool development to support more effective trading strategies and investment outcomes. This is an exciting opportunity for a technically skilled, collaborative researcher with strong SQL and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading research.

Responsibilities of the Role:

  • Investigate the properties of Invesco's orders using transaction cost analysis
  • Research execution tools across asset classes
  • Partner with various investment teams across the globe to better understand execution requirements
  • Help identify areas of trading strategy improvements
  • Analyze market and trading data and create models to improve existing trading tools and strategies
  • Build and help automate various transaction cost analysis (TCA) reports

Requirements of the Role:

  • MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics/chemistry/biology; or, Bachelor's degree with 2+ years' relevant experience and strong technical skills
  • Candidates must have hands on experience with SQL and R/Python, and master data science tools such as Shiny, R/Python Notebook; otherwise, the ability to quickly learn such tools must be demonstrated
  • Candidates with experience in transaction cost analysis, or conducting algorithmic trading research, or developing execution algorithms at a reputable buy-side firm, hedge fund or top tier investment bank are preferred
  • Candidates should demonstrate good knowledge of broad quantitative finance concepts and methodologies; specific knowledge on financial market microstructure, OMS/EMS, order execution and reporting process is a plus
  • Team player, open minded, used to a collaborative work environment
  • Excellent technical verbal and written communication skills. Ability to communicate a big picture idea and then zoom into the details and communicate effectively
  • Pragmatic mind with a preference for hands on work over purely theoretical development
  • Ability to conduct complex analysis and present data in a meaningful way
  • Strong organizational skills and detail oriented

The salary range for this position in New York, NY is $120,000-160,000 base/year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location.

Full Time / Part TimeFull timeWorker TypeEmployeeJob Exempt (Yes / No)YesWorkplace Model

Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.