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Algorithmic Trading Jobs (NOW HIRING)

We are seeking a Senior UX Designer to join our algorithmic trading team and lead the creation of our next generation of user interfaces. This role is for our Chicago office only. 5 days a week in ...

We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional ...

Operating grey and black box algorithmic trading strategies in accordance with the trading desk's objectives * Monitoring of trading activity and positions consistently throughout the shift

Operating grey and black box algorithmic trading strategies in accordance with the trading desk's objectives * Monitoring of trading activity and positions consistently throughout the shift

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Algorithmic Trading information

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$74.5K

$85.8K

$94K

How much do algorithmic trading jobs pay per year?

As of Jun 25, 2026, the average yearly pay for algorithmic trading in the United States is $85,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $91,000.00 per year, depending on experience, location, and employer.

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and offers opportunities in finance firms, hedge funds, and proprietary trading firms, but it requires strong technical skills, continuous learning, and risk management expertise.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

How much do Algo traders make?

Algorithmic traders' salaries vary based on experience, location, and performance, but they typically earn from $80,000 to over $200,000 annually. Successful traders with strong quantitative skills and advanced programming knowledge can earn significantly more through bonuses and profit sharing. Compensation often includes base salary, performance incentives, and benefits, especially in financial firms or hedge funds.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative 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-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

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 Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

Is algorithmic trading illegal?

Algorithmic trading is legal in most jurisdictions when conducted within regulatory frameworks that require proper registration, compliance, and risk management. Traders and firms must adhere to rules set by financial authorities to prevent market manipulation and ensure fair trading practices.
What cities are hiring for Algorithmic Trading jobs? Cities with the most Algorithmic Trading job openings:
What are the most commonly searched types of Algorithmic Trading jobs? The most popular types of Algorithmic Trading jobs are:
What states have the most Algorithmic Trading jobs? States with the most job openings for Algorithmic Trading jobs include:
What job categories do people searching Algorithmic Trading jobs look for? The top searched job categories for Algorithmic Trading jobs are:
Infographic showing various Algorithmic Trading job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $85,750 per year, or $41.2 per hour.
Quantitative Trading & Research - eTrading - Executive Director

Quantitative Trading & Research - eTrading - Executive Director

Chase

Manhattan, NY • On-site

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

47th of 142 rated banks


Job description

Executive Director, Quantitative Research Etrading

The Quantitative Trading & Research (QTR) Team design and implement trading platforms to integrate client solutions across various functions. This team contributes to the design and implementation of the algorithmic trading platforms where they integrate quantitative research and data analytics for client solutions across various functions in eTrading.

Our team partners with the electronic trading desk and technology teams to develop sophisticated mathematical models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. The Quantitative Researcher function within the QR eTrading team works closely with other quant researchers, the algo development team and the product team to deliver global solutions for our clients.

Job Summary

As an Executive Director in the QR eTrading team, you will contribute to the design and implementation of the algorithmic trading platform, integrating quantitative research, data analytics, and client solutions across various functions within eTrading. You will apply optimization techniques to enhance trade scheduling for both single stocks and portfolio trading in the algo engine. Collaborating with researchers in the QR team and working closely with the electronic trading product and algo development technology teams, you will have the opportunity to guide and shape the direction of the platform.

Job Responsibilities

  • Solve and implement numerical algorithms that address the optimization challenges in trade scheduling for multi-period single stock and portfolio products
  • Build robust algorithms within the production platform which will involve collaborating closely with our technology partners to integrate and deliver optimization solutions within the algo trading engine
  • Support diagnosis of trading decisions by explaining model and algorithm behavior, conducting scenario analyses, and developing quantitative tools and data analytics.
  • Validate production implementations for fidelity with the original research specifications.
  • Collaborate with quant researchers and trading desks to refine models and strategies that enhance our trading performance
  • Work closely with the product team and trading desks to design and build client centric solutions

Required qualifications, capabilities, and skills

  • Masters in STEM subject such as computer science, engineering, mathematics/statistics, physics
  • 8 years of experience in position(s) with similar responsibilities/technologies/business area
  • Experience with optimization techniques relevant to trading strategies
  • Experience coding in Java or C++
  • Experience working on algorithmic trading platform
  • Strong analytical, quantitative, and problem-solving skills
  • Strong written and verbal communication skills, with the ability to communicate well with business users and technology teams

Preferred qualifications, capabilities, and skills

  • Preferred PhD in STEM subject or independent research experience
  • 10+ years preferred experience in position(s) with similar responsibilities/technologies area
  • Experience with stochastic control, stochastic/numerical optimization techniques relevant to single stock or portfolio trading strategies
  • Experience with writing production grade implementations for trading systems in Java/C++
  • Experience with Python, AWS and/or other database/data processing technologies
  • Experience with q/kdb or similar
  • Knowledge of cash equity markets and microstructure
About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.


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