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Algorithmic Trader Jobs in Maryland (NOW HIRING)

Tech Rakers

Lead Data Scientist

Bethesda, MD · On-site

Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on ...

Quantum Space

Image Processing Engineer III

Rockville, MD · On-site

$140K - $185K/yr

Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms. * Hardware ...

Dexian DISYS

Lead, Data Scientist

Bethesda, MD · On-site

Prepare data, fit algorithms, tune hyperparameters, and validate model robustness through cross-validation techniques. Clearly articulate trade-offs among different modeling approaches and their ...

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All JobsAlgorithmic Trader JobsAlgorithmic Trader Jobs in Maryland

Algorithmic Trader information

See Maryland salary details

$38.3K

$93.9K

$261.6K

How much do algorithmic trader jobs pay per year?

As of Aug 30, 2026, the average yearly pay for algorithmic trader in Maryland is $93,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $102,400.00 per year, depending on experience, location, and employer.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

How do you become an algorithmic trader?

To become an algorithmic trader, you typically need a strong background in mathematics, programming, and finance, often holding a degree in a related field such as computer science, engineering, or finance. Developing skills in programming languages like Python or C++, understanding trading strategies, and gaining experience with trading platforms and data analysis are essential steps. Many algorithmic traders also pursue certifications or advanced degrees to enhance their knowledge and credibility.

What does an algorithmic trader do?

An algorithmic trader develops and implements automated trading strategies using computer algorithms to execute trades at high speed and volume. They analyze market data, optimize algorithms, and monitor trading systems, often using programming languages like Python or C++ and trading platforms. The role requires strong quantitative skills and understanding of financial markets.

What are the most commonly searched types of Algorithmic Trader jobs in Maryland?

The most popular types of Algorithmic Trader jobs in Maryland are:

What are popular job titles related to Algorithmic Trader jobs in Maryland?

For Algorithmic Trader jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trader jobs in Maryland look for?

The top searched job categories for Algorithmic Trader jobs in Maryland are:

Algorithmic Trader jobs near you
Infographic showing various Algorithmic Trader job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $93,923 per year, or $45.2 per hour.

Dynamic Scheduler DSP Algorithm Engineer

AST SpaceMobile

Lanham, MD • On-site

$143K - $167K/yr

Full-time

Posted 15 days ago

Job description

Position Overview

The Dynamic Scheduler DSP Algorithm Engineer designs and optimizes a resource-allocation algorithm for the satellite payload system, working at the intersection of combinatorial optimization, signal processing, and system-level performance trade-offs. This person designs, analyzes, and improves optimization algorithms for large-scale resource-allocation problems, balancing competing system objectives - efficiency, coverage, and performance - and validating solutions against simulation and real system metrics rather than theoretical guarantees alone. The role requires strong communication skills and comfort working across algorithm, system, and hardware constraints to ensure solutions scale efficiently to large problem sizes. 

Key Responsibilities:

  • Design, analyze, and improve optimization algorithms for large-scale resource-allocation problems.
  • Balance competing system objectives (efficiency, coverage, performance) and formalize the trade-offs involved.
  • Validate algorithms against simulation and real system metrics, not just theoretical guarantees.
  • Ensure solutions scale efficiently to large problem sizes.

 Qualifications 

Education:

Experience:

  • Strong background in optimization (combinatorial and/or convex), with hands-on problem-solving experience.
  • Proficiency in Python or MATLAB for algorithm prototyping.
  • Ability to translate mathematical/technical specifications into working code. 

Preferred Qualifications:

  • Background in wireless communications, satellite systems, or signal processing.
  • Graduate degree (MS/PhD) in EE, applied math, operations research, or CS with an optimization focus. 

Soft Skills:

  • Strong communication skills, with the ability to work effectively across algorithm, system, and hardware constraints. 

Technology Stack:

  • Python and/or MATLAB for algorithm prototyping.
  • Combinatorial and convex optimization frameworks and solvers.
  • Simulation and system-metric validation tooling for large-scale resource-allocation problems. 

Physical Requirements 

  • Ability to lift up to 25 lbs.
  • Ability to use a computer for extended periods.
  • Ability to work in an office environment, with occasional exposure to lab or test environments to validate algorithms against real system metrics.
  • Ability to travel occasionally to support system validation or cross-team collaboration as needed.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

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