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Computer Science Economics Jobs in Philadelphia, PA

MSD

Dir, Patient Intelligence Lead

North Wales, PA · On-site

Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics). * 10+ years of relevant experience in advanced analytics, data science, or ...

KPMG

Data Science Senior Associate

Philadelphia, PA

Master's degree or higher from an accredited college/university preferred; minimum of a Bachelor's degree in economics, statistics, mathematics, applied mathematics or computer science from an ...

Bread Financial

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

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Computer Science Economics information

See Philadelphia, PA salary details

$11.1K

$98.9K

$162K

How much do computer science economics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer science economics in Philadelphia, PA is $98,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,200.00 and $161,500.00 per year, depending on experience, location, and employer.

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.

What are popular job titles related to Computer Science Economics jobs in Philadelphia, PA?

For Computer Science Economics jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Computer Science Economics jobs in Philadelphia, PA look for?

The top searched job categories for Computer Science Economics jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Computer Science Economics jobs?

Cities near Philadelphia, PA with the most Computer Science Economics job openings:

Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $98,890 per year, or $47.5 per hour.

Quantitative Researcher - Master's: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 10 days ago

Job description

Overview
At Susquehanna, quantitative researchers tackle challenging data and algorithmic problems that inform decision-making in global financial markets. Their work spans statistical inference, optimization, market microstructure, simulation, forecasting, and large-scale data analysis, drawing on a broad quantitative toolkit to develop new insights and approaches.
As a Quantitative Researcher, you'll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, quantitative researchers typically focus more on model development, robustness, and long-term reliability.
You'll have access to Susquehanna's extensive proprietary datasets and large-scale computing infrastructure-including a rapidly growing cluster of thousands of high-end GPUs-support computationally intensive research, large-scale simulation, and rapid experimentation. Researchers work in small, highly collaborative teams where ideas are debated openly, evidence guides decisions, and promising research can quickly produce practical impact.
What You Can Expect
  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas
  • Execution: Propose improvements to existing strategies and optimize how they perform in production
  • Evaluation: Backtest ideas using historical market data and large-scale research clusters
  • Education: Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
  • Collaboration: Work in an open environment where you'll collaborate with systematic traders and technologists to push strategies into production

What we're looking for
We're looking for intellectually curious researchers who are energized by difficult quantitative problems and motivated by rigorous experimentation.
You may be a strong fit if you have:
  • A master's degree, graduating by Summer 2027, in computer science, economics, electrical engineering, mathematics, operations research, physics, statistics, or another highly quantitative discipline
  • A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling
  • Experience developing research code in Python and working with large datasets; experience with C++, scientific computing, or high-performance computing is a plus
  • Excellent problem-solving skills and an interest in using quantitative models to better understand complex systems
  • Strong communication skills and an interest in collaborating with researchers, engineers, and traders to refine ideas through discussion and experimentation
  • A track record of intellectual curiosity demonstrated through coursework, independent projects, research, competitions, strategic games, or other analytical pursuits
  • The ability to thrive in an environment that values creativity, evidence-based thinking, and continuous learning

Visa sponsorship is available for this position.
By applying to this role, you will be automatically considered for the Quantitative Systematic Trader position. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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