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Data Science Trading Jobs (NOW HIRING)

Next Step 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 ...

Quanta Search

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 ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Head of Data Science ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Head of Data Science ...

Quanta Search

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 ...

Fanatics Collectibles

Director of Data Science

New York, NY · On-site

$336K - $356K/yr

... trading cards, sports memorabilia, and other digital assets; and bet as the company builds its ... Build the data science team and lead in data scientist recruitment process; Guide and coach data ...

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

This role will lead multiple data science team members with a significant portfolio of initiatives ... Ability to make informed trade-offs across modeling approaches, data pipelines, tooling, and ...

Whatnot

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 ...

Totalwine

This role will lead multiple data science team members with a significant portfolio of initiatives ... Ability to make informed trade-offs across modeling approaches, data pipelines, tooling, and ...

Rock Connections

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 ...

Beth Page tech

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 ...

TBK Bank, SSB

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 ...

HII

DATA ENGINEER - DATA SCIENCE TEAM

Newport News, VA · Hybrid

$104K - $131K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... Our diverse and innovative team of professionals ranges from skilled trades to project managers ...

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Data Science Trading information

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$24K

$115.8K

$211K

How much do data science trading jobs pay per year?

As of Jul 4, 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. Data scientists often use this concept to focus on the most impactful features, data subsets, or strategies to optimize model performance and decision-making.

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.

Can a data scientist become a quant trader?

A data scientist can become a quant trader by applying skills in statistical analysis, programming, and machine learning to develop trading algorithms. Transitioning often requires understanding financial markets, risk management, and familiarity with tools like Python, R, and trading platforms. Additional certifications or experience in finance can facilitate this career shift.

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 often essential in this field.

Is 40 too late for data science?

Data science trading roles are open to candidates of all ages, and many professionals transition into data science later in their careers. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding financial markets. Age is less a barrier than relevant expertise and adaptability.
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:
Data Science Trading jobs near you
Infographic showing various Data Science Trading job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 10% Full Time, 65% Part Time, and 22% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,802 per year, or $55.7 per hour.

Quantitative Developer for Delta One Group

Quanta Search

Manhattan, NY • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Our client, a prosperous hedge fund, is currently seeking a Quantitative Developer for the firm's Delta One group. The group is focused on quantitative market making and arbitrage strategies in numerous derivative products around 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
Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com

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