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Quantitative Developer Jobs in Philadelphia, PA (NOW HIRING)

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Quantitative Developer information

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$98.9K

$171.3K

$261.9K

How much do quantitative developer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for quantitative developer in Philadelphia, PA is $171,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,700.00 and $200,800.00 per year, depending on experience, location, and employer.

What do you do as a quant developer?

A quantitative developer designs, implements, and maintains algorithms and models used for trading, risk management, and financial analysis. They typically work with programming languages like Python, C++, or Java and use data analysis tools to develop automated trading systems. Strong mathematical, statistical, and coding skills are essential in this role, often within a fast-paced financial environment.

What jobs pay $500,000 a year in the US?

Quantitative developers in finance, such as those working in hedge funds, investment banks, or proprietary trading firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced degrees, strong programming skills in languages like C++ or Python, and expertise in financial modeling and risk management.

How does a Quantitative Developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is a quant developer's salary?

A quantitative developer's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often available in financial hubs and for those with advanced skills in programming, mathematics, and financial modeling. Bonuses and profit sharing can significantly increase total compensation for experienced professionals.

What are the key skills and qualifications needed to thrive as a Quantitative Developer, and why are they important?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What are Quantitative Developers?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

What jobs make $1,000,000 a year?

Quantitative developers in finance, hedge fund managers, and senior traders can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. Success in these roles typically requires advanced programming skills, strong financial knowledge, and experience with trading algorithms or risk management tools.
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Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in Philadelphia, PA as of July 2026, with employment types broken down into 30% Internship, and 70% Full Time. Highlights an 100% In-person job distribution, with an average salary of $171,271 per year, or $82.3 per hour.
Quantitative/Data Developer | Fixed Income | Experienced Hire

Quantitative/Data Developer | Fixed Income | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Posted 19 days ago

Job description

Overview
Susquehanna is seeking a Quantitative Developer with experience in Python to join our Fixed Income Technology Team.
This team focuses primarily on trading interfaces and technologies to empower the sales desk. You'll work alongside traders, quant analysts, and other technology teams to create, maintain, and enhance our proprietary trading systems.
In this role, you will:
  • Design and create proprietary software to handle mission critical trading demands, including but not limited to market data, quoting, pricing, risk, and P&L.
  • Work closely with traders and analysts to understand and iterate on requirements.
  • Work closely with various technology teams to deliver efficient and scalable solutions in a fast paced environment, which directly impacts production systems.

What we're looking for
  • At least 3 years of experience developing data tools and applications in Python is required.
  • Experience with the Python data science stack: NumPy, Pandas etc. and/or other array-oriented programming environments.
  • Prior experience in a Quant Developer role, with the ability to understand financial models and mathematical algorithms, preferred.
  • Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers is required.
  • Interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.
  • Minimum Bachelor's degree in CS, applied science, or similar preferred, advanced degree a plus.

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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