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Algorithmic Jobs (NOW HIRING)

Algorithmic Engineer Location: in MD - 15 mins. from DC What you'll get to do: * Research, design and prototype algorithms for secure processing of data on distributed systems, using technologies ...

Algorithmic Developer

New York, NY ยท On-site

$200K - $300K/yr

Your Role Our Algorithmic Developers are researchers and engineers who transform complex quantitative concepts into high-performance trading strategies and systems that are efficient, stable, and ...

Algorithmic Developer

New York, NY ยท On-site

$200K - $300K/yr

Your Role Our Algorithmic Developers are researchers and engineers who transform complex quantitative concepts into high-performance trading strategies and systems that are efficient, stable, and ...

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets. We provide liquidity algorithmically across all major cryptocurrency exchanges and trading platforms ...

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex, ICE, and CME. The trader, along with the Head of the Desk, will be responsible for managing all ...

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex, ICE, and CME. The trader, along with the Head of the Desk, will be responsible for managing all ...

Traders at Simplex work closely with our technology team to design and optimize algorithmic trading strategies based on deep knowledge of market microstructure, trading dynamics, and data-focused ...

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets. We provide liquidity algorithmically across all major cryptocurrency exchanges and trading platforms ...

Algorithmic Trader

Chicago, IL ยท On-site

$150K - $200K/yr

Traders at Simplex work closely with our technology team to design and optimize algorithmic trading strategies based on deep knowledge of market microstructure, trading dynamics, and data-focused ...

Algorithmic Developer - Intern

New York, NY ยท On-site

$200K - $300K/yr

Your Role Our Algorithmic Developers are researchers and engineers who transform complex quantitative concepts into high-performance trading strategies and systems that are efficient, stable, and ...

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Algorithmic information

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$37.5K

$122.7K

$196.5K

How much do algorithmic jobs pay per year?

As of Jul 20, 2026, the average yearly pay for algorithmic in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientist, software engineer, machine learning engineer, and quantitative analyst, where designing, implementing, and optimizing algorithms is essential. These positions often require programming skills in languages like Python or C++ and knowledge of data structures and mathematical concepts. They are common in technology, finance, healthcare, and research environments.

How to get into algotrading?

To get into algorithmic trading, develop strong programming skills in languages like Python or C++, learn quantitative finance and trading strategies, and gain experience with trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and internships or entry-level roles can provide practical experience in the field.

What are algorithmic jobs?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What is the most in demand programming job?

Algorithmic roles, such as algorithm engineers and data scientists, are highly in demand due to their importance in fields like finance, tech, and AI. These jobs typically require strong programming skills in languages like Python, C++, or Java, and expertise in data structures, algorithms, and machine learning tools.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What are some jobs that can be automated?

Algorithmic roles often involve tasks such as data analysis, process monitoring, and repetitive decision-making, which can be automated using software tools, machine learning models, and scripting. Jobs in manufacturing, customer service, and administrative support are also increasingly automated through robotics, chatbots, and workflow automation platforms. These technologies reduce manual effort and improve efficiency but require skills in programming, data management, and system integration.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

More about Algorithmic jobs
What cities are hiring for Algorithmic jobs? Cities with the most Algorithmic job openings:
What states have the most Algorithmic jobs? States with the most job openings for Algorithmic jobs include:
Algorithmic Engineer

Algorithmic Engineer

Beyond SOF

Fulton, MD โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Algorithmic Engineer
Location: in MD - 15 mins. from DC

What you'll get to do:
  • Research, design and prototype algorithms for secure processing of data on distributed systems, using technologies like homomorphic encryption (HE) and secure multiparty computation (SMPC).
  • Work with other Enveil engineers to transition algorithms from prototype to our production systems.
  • Keep yourself and other Enveil engineers up to date with the latest developments in HE and SMPC research by reading papers, attending conferences, and participating in our internal working groups.
  • As one of the first engineers at an early-stage start-up, you'll be able to influence every aspect of the business, from technical direction to product design to company culture.

What you need to be successful:
  • Desire and ability to learn new technical skills, quickly and constantly.
  • 4+ years relevant work experience.
    • Prior experience with HE or SMPC is a big plus, but is not required.
  • Either:
    • A PhD in Computer Science, Mathematics or related field, or
    • Comparable work experience in a research and development organization.
  • Prior experience with any of the following is a plus:
    • Cryptography
    • Security architecture
    • Threat modeling
    • Database design
    • Performance optimization
    • Distributed processing (Spark, Hadoop)
  • U.S. Citizenship is required for all applicants.