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Algorithmic Trader Jobs in Maryland (NOW HIRING)

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 ...

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

... algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on different modeling techniques and ...

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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 8, 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.

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. Many algorithmic traders also pursue certifications or advanced degrees to enhance their knowledge and credibility.

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 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 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.

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:
Infographic showing various Algorithmic Trader job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $93,923 per year, or $45.2 per hour.

Business Development Director

Framework Ventures

Hagerstown, MD • On-site

$180 - $260/hr

Other

Posted 3 days ago

New


Job description

Business Development Director Role Overview

As Business Development Director, you will play a pivotal role in expanding Kronos Research’s presence across global digital asset markets. You will lead high-impact strategic initiatives, own key partner relationships, and collaborate closely with trading, product, and executive teams. This role offers the opportunity to directly influence the firm’s commercial trajectory at a senior level.

Key Responsibilities

Own and drive the end-to-end business development strategy for key global markets, with an emphasis on institutional partnerships, exchange relationships, and strategic expansion opportunities. Lead high-level negotiations and relationship management with crypto exchanges, liquidity consumers, market makers, and ecosystem partners. Identify new markets, products, or asset classes where Kronos can scale its market-making, OTC, or algorithmic trading capabilities. Serve as a senior liaison between external partners and internal stakeholders, including trading, legal, product, and infrastructure teams. Partner with the executive team to define and execute long-term growth plans, including M&A evaluations, ecosystem investments, and go-to-market strategy. Represent Kronos at industry conferences, regulatory discussions, and major partner events to enhance thought leadership and visibility.

Requirements

8+ years of experience in business development, strategy, or partnerships, preferably in crypto, financial services, trading platforms, or venture capital. Proven leadership experience driving complex, high-value partnerships across global markets. Deep understanding of crypto trading infrastructure, liquidity dynamics, market making, and digital asset ecosystems. Strong commercial acumen and executive-level communication skills with the ability to influence stakeholders at all levels. Highly analytical and strategic thinker with strong deal structuring and execution capability. Entrepreneurial mindset with the ability to operate autonomously and navigate ambiguity Prior experience leading cross-functional initiatives with high visibility and business impact. Fluent in English; additional language proficiency is a plus. Willingness to travel internationally as required.

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