Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities for this role include developing the group's simulation ...
Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities for this role include developing the group's simulation ...
Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities for this role include developing the group's simulation ...
Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities for this role include developing the group's simulation ...
Data Science Developer
Chicago, IL · On-site
Data Science Developer, Chicago, IL We are seeking a talented Data Science Developer candidate to ... Responsibilities: - Develop processes to collect and analyze data for automated trading systems ...
Data Science Developer
Chicago, IL · On-site
Data Science Developer, Chicago, IL We are seeking a talented Data Science Developer candidate to ... Responsibilities: - Develop processes to collect and analyze data for automated trading systems ...
Delta One Quant Researcher
Manhattan, NY · On-site
Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities Responsibilities for this role include developing the group ...
Delta One Quant Researcher
Manhattan, NY · On-site
Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities Responsibilities for this role include developing the group ...
Delta One Quant Researcher
Manhattan, NY · On-site
Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities Responsibilities for this role include developing the group ...
Delta One Quant Researcher
Manhattan, NY · On-site
Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities Responsibilities for this role include developing the group ...
Manager, Data Science
Detroit, MI · On-site
As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Today, we're a publicly traded company involved in many different industries, including mortgages ...
Manager, Data Science
Detroit, MI · On-site
As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Today, we're a publicly traded company involved in many different industries, including mortgages ...
Manager, Data Science
Detroit, MI · On-site
As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Today, we're a publicly traded company involved in many different industries, including mortgages ...
Manager, Data Science
Detroit, MI · On-site
As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Today, we're a publicly traded company involved in many different industries, including mortgages ...
Manager, Data Science
San Francisco, CA · On-site
$221K - $320K/yr
Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...
Manager, Data Science
San Francisco, CA · On-site
$221K - $320K/yr
Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... trading to improve profitability and decision speed. * Executes complex AI initiatives from ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... trading to improve profitability and decision speed. * Executes complex AI initiatives from ...
Data Science Manager
Columbia, MD · On-site
$125K - $160K/yr
Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...
Data Science Manager
Columbia, MD · On-site
$125K - $160K/yr
Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... trading to improve profitability and decision speed. * Executes complex AI initiatives from ...
Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... trading to improve profitability and decision speed. * Executes complex AI initiatives from ...
Data Science Manager
$125K - $160K/yr
Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...
Data Science Manager
$125K - $160K/yr
Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...
Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...
Quick apply
Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...
Data Scientist
Houston, TX · On-site
Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine ... Ability to understand commodity trading/energy sector datasets and business needs * Experience ...
Quick apply
Data Scientist
Houston, TX · On-site
Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine ... Ability to understand commodity trading/energy sector datasets and business needs * Experience ...
Director of Data Science
Dallas, TX · On-site
Director of Data Science Position Summary We are seeking a Director of Data Science to design ... operational trade-offs. * Lead signal development for transportation intelligence products ...
Director of Data Science
Dallas, TX · On-site
Director of Data Science Position Summary We are seeking a Director of Data Science to design ... operational trade-offs. * Lead signal development for transportation intelligence products ...
Director of Data Science
Dallas, TX · On-site
Director of Data Science Position Summary We are seeking a Director of Data Science to design ... operational trade-offs. * Lead signal development for transportation intelligence products ...
Director of Data Science
Dallas, TX · On-site
Director of Data Science Position Summary We are seeking a Director of Data Science to design ... operational trade-offs. * Lead signal development for transportation intelligence products ...
We are looking for an Director of Data Science to lead high-impact applied ML and analytics ... trade-offs, and roadmaps. * Design and maintain production ML pipelines using Python, SQL, Airflow ...
Quick apply
We are looking for an Director of Data Science to lead high-impact applied ML and analytics ... trade-offs, and roadmaps. * Design and maintain production ML pipelines using Python, SQL, Airflow ...
Director, Data Science
Boston, MA · On-site
$126K/yr
The Role This is an individual contributor data science role. In this role, the individual leads ... We partner with investment professionals, portfolio managers, analysts, quants, traders, and other ...
Director, Data Science
Boston, MA · On-site
$126K/yr
The Role This is an individual contributor data science role. In this role, the individual leads ... We partner with investment professionals, portfolio managers, analysts, quants, traders, and other ...
Director, Data Science
Boston, MA · On-site +1
$126K/yr
The Role This is an individual contributor data science role.In this role, the individual leads ... We partner with investment professionals, portfolio managers, analysts, quants, traders, and other ...
Director, Data Science
Boston, MA · On-site +1
$126K/yr
The Role This is an individual contributor data science role.In this role, the individual leads ... We partner with investment professionals, portfolio managers, analysts, quants, traders, and other ...
We are looking for an Director of Data Science to lead high-impact applied ML and analytics ... trade-offs, and roadmaps. * Design and maintain production ML pipelines using Python, SQL, Airflow ...
We are looking for an Director of Data Science to lead high-impact applied ML and analytics ... trade-offs, and roadmaps. * Design and maintain production ML pipelines using Python, SQL, Airflow ...
Data Science Trading information
See salary details
$24K - $41K
12% of jobs
$41K - $58K
11% of jobs
$63.8K is the 25th percentile. Wages below this are outliers.
$58K - $75K
8% of jobs
$75K - $92K
8% of jobs
$92K - $109K
9% of jobs
The median wage is $111.5K / yr.
$109K - $126K
11% of jobs
$126K - $143K
9% of jobs
$153.6K is the 75th percentile. Wages above this are outliers.
$143K - $160K
11% of jobs
$160K - $177K
9% of jobs
$177K - $194K
7% of jobs
$194K - $211K
4% of jobs
$24K
$115.8K
$211K
How much do data science trading jobs pay per year?
As of Jun 11, 2026, the average yearly pay for data science trading in the United States is $115,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $159,000.00 per year, depending on experience, location, and employer.
What is the 80 20 rule in data science?
In data science trading, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often use this rule to focus on the most impactful variables or models to optimize performance efficiently.
What are the key skills and qualifications needed to thrive in the Data Science Trading position, and why are they important?
To thrive in Data Science Trading, you need strong quantitative analysis, statistical modeling, and programming skills, usually supported by a degree in a quantitative field like mathematics, finance, or computer science. Proficiency in Python, R, SQL, and experience with machine learning frameworks and trading platforms such as Bloomberg or QuantConnect are commonly required. Excellent problem-solving, collaboration, and the ability to communicate complex concepts clearly are standout soft skills. These capabilities are crucial for building, optimizing, and explaining data-driven trading strategies in fast-paced financial environments.
What is a Data Science Trading job?
A Data Science Trading job involves using data analysis, machine learning, and statistical modeling to develop trading strategies and optimize financial decision-making. Professionals in this field work with large datasets, build predictive models, and implement algorithms to identify market patterns and trading opportunities. They collaborate with traders and quantitative analysts to enhance trading performance and manage risk. Strong programming skills in Python, R, or SQL, along with expertise in finance and mathematics, are essential for success in this role.
What are some typical responsibilities and daily tasks for professionals working in Data Science Trading?
Data Science Trading professionals typically analyze large financial datasets, develop algorithmic trading models, and monitor the performance of existing strategies. A typical day might include collaborating with traders and engineers, implementing new statistical techniques or machine learning algorithms, and backtesting strategies against historical market data. Routine tasks also involve writing code to automate processes, conducting risk assessments, and presenting insights to stakeholders. This role is highly collaborative and requires adapting to rapidly changing market conditions, making each day dynamic and intellectually challenging.
Is data science useful for trading?
Data science is highly useful for trading, as it enables analysts and traders to develop predictive models, identify market patterns, and make data-driven decisions. Skills in machine learning, statistical analysis, and programming tools like Python or R are commonly applied in trading environments to improve strategies and optimize performance.
How much do NYSE data scientists make?
Data scientists working in financial trading environments, such as at the NYSE, typically earn between $90,000 and $150,000 annually, depending on experience, education, and skill set. Senior roles or those with specialized skills in machine learning and quantitative analysis can earn higher salaries, often exceeding $200,000 with bonuses and incentives.
Is 40 too late for data science?
Data science trading roles are open to candidates of various ages, and starting a career at 40 is feasible with relevant skills in programming, statistics, and data analysis. Many professionals successfully transition into data science later in their careers by gaining certifications and practical experience.
More about Data Science Trading jobs
What cities are hiring for Data Science Trading jobs? Cities with the most Data Science Trading job openings:
What are the most commonly searched types of Data Science Trading jobs? The most popular types of Data Science Trading jobs are:
What states have the most Data Science Trading jobs? States with the most job openings for Data Science Trading jobs include:
What job categories do people searching Data Science Trading jobs look for? The top searched job categories for Data Science Trading jobs are:
Other
Posted 17 days ago
Job description
Our client, a prosperous hedge fund, is currently seeking a Quantitative Developer for the firm's Delta One group. The group isfocused on quantitative market making and arbitrage strategies in numerous derivative productsaround the world.
The ideal candidate should be well-rounded, highly driven, and excited to develop creative
solutions to challenging real-world trading and data science problems. Candidates should
exhibit genuine interest in cutting edge developments in computer science, trading, and data
science.
Responsibilities for this role include developing the group's simulation capabilities, testing and
deploying quantitative strategies and strategy improvements, and building data tools and
applications
Requirements
Bachelors degree or higher, preferably in Computer Science, Engineering or
Mathematics plus a minimum of 2 years of relevant experience.
Excellent quantitative, problem solving and analytical skills
Strong C++ and expert level Python skills
Motivated, competitive, and eager to learn
Familiarity with machine learning libraries and techniques
Ability to manage multiple competing priorities and thrive in a fast-paced and challenging
environment
Strong communication and organization skills
Excellent attention to detail, accuracy and a thorough understanding of full life-cycle
development and performance optimization/latency reduction methodologies.
Additional Helpful Skills
Team-based quantitative/automated trading experience
Knowledge of complex financial products and derivatives
Experience working with large-scale, low-latency C++ trading systems
Previous experience working with large scale data-platforms
The ideal candidate should be well-rounded, highly driven, and excited to develop creative
solutions to challenging real-world trading and data science problems. Candidates should
exhibit genuine interest in cutting edge developments in computer science, trading, and data
science.
Responsibilities for this role include developing the group's simulation capabilities, testing and
deploying quantitative strategies and strategy improvements, and building data tools and
applications
Requirements
Bachelors degree or higher, preferably in Computer Science, Engineering or
Mathematics plus a minimum of 2 years of relevant experience.
Excellent quantitative, problem solving and analytical skills
Strong C++ and expert level Python skills
Motivated, competitive, and eager to learn
Familiarity with machine learning libraries and techniques
Ability to manage multiple competing priorities and thrive in a fast-paced and challenging
environment
Strong communication and organization skills
Excellent attention to detail, accuracy and a thorough understanding of full life-cycle
development and performance optimization/latency reduction methodologies.
Additional Helpful Skills
Team-based quantitative/automated trading experience
Knowledge of complex financial products and derivatives
Experience working with large-scale, low-latency C++ trading systems
Previous experience working with large scale data-platforms