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Algorithmic Jobs (NOW HIRING)

Applied Materials

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and ...

Ava

Algorithmic Backend Engineer

San Francisco, CA · On-site

You'll conceive algorithms to accommodate real time multi-editing and audio processing. * You'll write our new API to accelerate & build integrations with multiple complementary productivity ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA

$143K - $186K/yr

Proficient in LLM and VLM architectures and algorithms, familiar with transformer based NLP / Audio / CV algorithms and technologies. * Proficiency in Python and experience with AI-related training ...

INSPYR Solutions

Algorithm Developer II

They are seeking an Algorithm Developer II to build new algorithms and functionalities, and to contribute to research publications in the field of superintelligence. Responsibilities : • convert ...

Amat

Algorithm Developer

Santa Clara, CA

$131K - $180K/yr

Perform algorithmic C&F for an algorithmic feature, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains * Develop executable ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficient in LLM and VLM architectures and algorithms, familiar with transformer based NLP / Audio / CV algorithms and technologies. * Proficiency in Python and experience with AI-related training ...

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and ...

Fleetline

Founding Algorithm Developer

New York, NY · On-site

$140K - $190K/yr

Fleetline writes optimization algorithms for enterprise trucking fleets. We work with some of the largest fleets in the country and are rapidly scaling our operations. A bit about us * Scaled from 0 ...

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All JobsAlgorithmic Jobs

Algorithmic information

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$37.5K

$122.7K

$196.5K

How much do algorithmic jobs pay per year?

As of Jun 30, 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.

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 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.

How much do Algo traders earn?

Algorithmic traders typically earn a base salary ranging from $80,000 to $150,000 annually, with total compensation often including performance bonuses that can significantly increase earnings. Experienced traders with strong programming skills and a successful track record can earn over $200,000 per year. Compensation varies based on firm size, location, and individual performance.

How much do algorithmic quants make?

Algorithmic quants, or quantitative analysts specializing in algorithmic trading, typically earn between $100,000 and $200,000 annually at entry-level, with experienced professionals earning over $300,000 including bonuses. Compensation varies based on experience, firm size, location, and performance, and often includes bonuses tied to trading profits. Strong programming skills in languages like Python or C++ and a background in finance or mathematics are essential for these roles.

What careers use algorithms?

Algorithmic skills are essential in careers such as software development, data science, machine learning engineering, and quantitative analysis. These roles involve designing, analyzing, and implementing algorithms to solve complex problems, often requiring knowledge of programming languages like Python or C++ and understanding of data structures and computational complexity.

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:
What job categories do people searching Algorithmic jobs look for? The top searched job categories for Algorithmic jobs are:
Algorithmic jobs near you
Infographic showing various Algorithmic job openings in the United States as of June 2026, with employment types broken down into 17% Locum Tenens, 17% Full Time, 17% Temporary, and 49% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Director of Sales - Algorithmic & Electronic Trading

Director of Sales - Algorithmic & Electronic Trading

Bestex Research

Stamford, CT • On-site

Full-time

Posted 28 days ago

Job description

About BestEx Research

BestEx Research is an independent execution consulting and analytics firm specializing in algorithmic execution and transaction cost analysis (TCA). We work with sophisticated institutional clients across futures and equities, to help them improve execution quality and trading outcomes.

As we continue to expand our presence in futures and electronic markets, we are seeking a sales professional to help drive new client acquisition and deepen our footprint with buy side clients.

Role Overview

The Director of Sales will be responsible for originating and developing new client relationships, with a primary focus on futures - exchange-traded derivatives. The ideal candidate has a demonstrated track record of selling to institutional clients, navigating complex sales processes, and engaging with senior decision-makers. The ideal candidate should possess a strong understanding of algorithmic execution, electronic trading workflows, and market structure.

While existing industry relationships are not required, an established network of institutional contacts and a history of successfully monetizing those relationships is considered a strong advantage.

This role offers significant autonomy and visibility, and is well-suited for a commercially driven professional who can manage the full sales lifecycle.

Key Responsibilities

  • Originate, develop, and close new client relationships across futures, exchange-traded derivatives, and electronic trading desks
  • Build and manage a robust sales pipeline, from lead generation through contract execution
  • Leverage existing industry relationships while proactively identifying new opportunities
  • Partner with research and product teams to articulate BestEx’s value proposition around execution quality, algorithmic performance, and market structure

Requirements

  • 7+ years of experience in institutional sales within futures, exchange-traded derivatives, or electronic trading
  • Proven background in algorithmic execution sales, electronic sales & trading, or related capital markets roles
  • Existing network of buy-side, sell-side, or proprietary trading firm relationships strongly preferred
  • Demonstrated ability to independently manage complex sales cycles and close new business
  • Strong communication skills with the ability to engage credibly with senior traders, heads of trading, and execution teams

Benefits

  • Opportunity to play a key role in scaling a respected, independent execution research firm
  • High degree of autonomy and visibility within the organization
  • Competitive compensation structure aligned with performance
  • Collaborative, intellectually driven environment focused on data, research, and execution excellence