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Algorithmic Trading Jobs in St Louis, MO (NOW HIRING)

Data Scientist

Chesterfield, MO · On-site

  • Medical

  • Retirement

  • PTO

The global analysts work closely with global traders to help market develop market theses that ... algorithms to extract, analyze, and leverage diverse data sources. Critically assess the ...

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

The global analysts work closely with global traders to help market develop market theses that ... Design and implement advanced analytical strategies and algorithms to extract, analyze, and ...

Data Scientist

Chesterfield, MO · On-site

  • Medical

  • Retirement

  • PTO

The global analysts work closely with global traders to help market develop market theses that ... Design and implement advanced analytical strategies and algorithms to extract, analyze, and ...

Data Scientist

Chesterfield, MO · On-site +1

  • Medical

  • Retirement

  • PTO

The global analysts work closely with global traders to help market develop market theses that ... Design and implement advanced analytical strategies and algorithms to extract, analyze, and ...

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

  • Medical

  • Retirement

  • PTO

The global analysts work closely with global traders to help market develop market theses that ... Design and implement advanced analytical strategies and algorithms to extract, analyze, and ...

Lead Software Engineer

O Fallon, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and algorithmic efficiency • Make informed design trade-offs based on computational complexity, scalability, and system constraints • Guide teams in applying foundational computer science ...

Lead Software Engineer

O Fallon, MO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... algorithmic efficiency Make informed design trade-offs based on computational complexity, scalability, and system constraints Guide teams in applying foundational computer science principles to solve ...

Controls Systems Engineer II

Bridgeton, MO · On-site

$79K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform critical trade studies focused on control performance drivers (sensors/IMU selection ... Experience implementing and supporting control algorithms in real-time/embedded environments and ...

Manager, Software Engineering

O Fallon, MO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and algorithm selection o Evaluate trade-offs in complexity, memory usage, and execution efficiency Experience building cloud platforms (AWS, Azure, GCP, PCF), Kubernetes and Docker, and CI/CD ...

Controls Systems Engineer II

Bridgeton, MO · On-site

$79K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform critical trade studies focused on control performance drivers (sensors/IMU selection ... Experience implementing and supporting control algorithms in real-time/embedded environments and ...

Controls Systems Engineer II

Bridgeton, MO · On-site

$79K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform critical trade studies focused on control performance drivers (sensors/IMU selection ... Experience implementing and supporting control algorithms in real-time/embedded environments and ...

Manager Software Engineering

O Fallon, MO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... algorithms, data structures, and system design. Lead architecture and design discussions while balancing technical trade-offs, operational requirements, and business priorities. Software Quality ...

Manager, Software Engineering

O Fallon, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... algorithm selection o Evaluate trade-offs in complexity, memory usage, and execution efficiency • Experience building cloud platforms (AWS, Azure, GCP, PCF), Kubernetes and Docker, and CI/CD ...

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Showing results 1-20

Algorithmic Trading information

See St Louis, MO salary details

$72.4K

$83.4K

$91.4K

How much do algorithmic trading jobs pay per year?

As of Aug 17, 2026, the average yearly pay for algorithmic trading in St. Louis, MO is $83,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $88,500.00 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.

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.

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.

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 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.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

What are popular job titles related to Algorithmic Trading jobs in St. Louis, MO?

For Algorithmic Trading jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in St. Louis, MO look for?

The top searched job categories for Algorithmic Trading jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Algorithmic Trading jobs?

Cities near St. Louis, MO with the most Algorithmic Trading job openings:

Infographic showing various Algorithmic Trading job openings in St. Louis, MO as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $83,368 per year, or $40.1 per hour.

Site Reliability Engineer - - Electronic Trading Team

London Stock Exchange Group

Saint Louis, MO • On-site

$55.50 - $73.75/hr

Full-time

Medical, Retirement

Re-posted 8 days ago


Job description

We are evolving our Reliability Engineering team to move beyond support and operations. As a Senior Engineer in Site Reliability, you will be part of a diverse and inclusive organization that has full ownership of the availability, performance, and scalability of one of the most critical shared services at LSEG.

We are looking for people with a passion for learning and a continuousimprovement mindset to join our Electronic Trading (ET) team. As a Site Reliability Engineer, you will be responsible for the design, reliability, and operational excellence of our highperformance FX trading platform-technology used by major financial institutions around the world.

This role plays a key part in ensuring our trading systems remain robust, secure, scalable, and highly available. You will work across complex, missioncritical environments and drive architectural enhancements that support the future of our platform. 

The ET platform is a highly configurable, componentbased FX dealing system delivered as isolated client instances. It supports direct electronic trading via web interfaces, connectivity adaptors, and APIs. The platform integrates seamlessly with marketrate providers, credit engines, and backend services to enable full straightthrough processing.

What You Will Do

  • Own and maintain Service Level Objectives (SLOs) for the systems you support.

  •  Continuously measure and improve availability, and overall system health.

  •  Develop automation to scale systems sustainably and prevent or mitigate service issues.

  • Partner with development teams to enhance reliability, observability, and release velocity.

  • Participate in oncall rotations, incident response, postincident reviews, and rootcause analysis. Promote strong engineering practices to help build, deploy, and operate highperformance services.

  •  Act as a key enabler for Cloud migration, working with operations and engineering teams from project inception through to operational readiness.

  •  Conduct architectural reviews, support operational acceptance testing, and configure Datadog dashboards and metrics.

You will need to have experience of DevOps or operating highly available distributed systems, strong scripting and automation skills (Bash,Python,etc). Understanding of Linux and cloud environments. Knowledge of working with financial trading systems an advantage.

Minimum qualifications

  • A Bachelor's degree in computer science, a related technical field involving software/systems engineering, or equivalent practical experience.

  • Experience with programming languages such as: Java, C#, Python.

  • Experience with relational databases and SQL

  • Experience with Infrastructure as Code.

  • Experience in Observability practices with logging, metrics, tracing, and alerting.

  • Hands on Experience with one of the following cloud platforms: Azure, AWS, Kubernetes

Preferred qualifications

  • Experience on DevOps concepts and way of working.

  •  Experience with algorithms and data structures.

Career Stage:

Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.