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Quantitative Jobs in Pennsylvania (NOW HIRING)

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA

$64K - $105K/yr

This role will be responsible for providing analytical/quantitative input to help develop, implement, and monitor the build of complex commercial small business Expected Default (ED) and Probability ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

This role will be responsible for providing analytical/quantitative input to help develop, implement, and monitor the build of complex commercial small business Expected Default (ED) and Probability ...

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA

$64K - $105K/yr

This role will be responsible for providing analytical/quantitative input to help develop, implement, and monitor the build of complex commercial small business Expected Default (ED) and Probability ...

Northwest

Sr. Quantitative Analyst

Bellevue, PA

OH0713 NW Bancshares HQ, PA0258 Bellevue The Senior Quantitative Analyst II is responsible for contributing to and managing large projects related to the support, development, and maintenance of ...

Northwest Bank

Sr. Quantitative Analyst

Bellevue, PA · On-site

OH0713 NW Bancshares HQ, PA0258 Bellevue The Senior Quantitative Analyst II is responsible for contributing to and managing large projects related to the support, development, and maintenance of ...

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All JobsQuantitative JobsQuantitative Jobs in Pennsylvania

Quantitative information

See Pennsylvania salary details

$31.1K

$90.8K

$146.3K

How much do quantitative jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative in Pennsylvania is $90,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $119,300.00 per year, depending on experience, location, and employer.

What is a quantitative job?

Quantitative jobs, often referred to as 'Quant' roles, involve the application of mathematical, statistical, and computational techniques to analyze data and solve complex problems, particularly in finance, investment banking, and technology sectors. Professionals in these roles develop and implement models to inform trading strategies, manage risk, or optimize investment portfolios. Quants typically have strong backgrounds in mathematics, statistics, computer science, or engineering and use programming languages such as Python, R, or C++. These positions are highly analytical and require a deep understanding of financial markets, data analysis, and quantitative modeling.

What are the key skills and qualifications needed to thrive as a quantitative analyst?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, usually supported by a degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data analysis tools, and familiarity with financial modeling platforms are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help individuals excel in this role. These competencies are crucial for developing accurate models, interpreting complex data, and driving data-driven decisions in finance and business.

What are some common challenges faced by quantitative analysts when working with large datasets in finance?

Quantitative analysts often deal with vast and complex datasets, which can present challenges such as data quality issues, integration of disparate data sources, and ensuring computational efficiency. Successfully cleaning and validating data is essential to produce reliable models. Additionally, quant analysts must stay updated with the latest programming tools and statistical techniques to optimize data processing and derive meaningful insights, often collaborating closely with IT and software engineering teams to implement scalable solutions.

What is the difference between Quantitative vs Quantitative Analyst?

AspectQuantitativeQuantitative Analyst
Required CredentialsMathematics, statistics, or related degreesMathematics, statistics, or finance certifications
Work EnvironmentResearch, data analysis, modelingFinancial firms, investment banks, hedge funds
Industry UsageBroadly used in finance, tech, researchPrimarily in finance and investment sectors
Common Search IntentGeneral quantitative rolesSpecific finance-focused roles

Quantitative refers broadly to roles involving mathematical and statistical analysis across various industries. A Quantitative Analyst, however, is a specialized role within finance that applies quantitative methods to develop trading strategies, risk management, and financial modeling. While both share similar credentials and work environments, the analyst role is more industry-specific, focusing on financial markets and investment decision-making.

What are the most commonly searched types of Quantitative jobs in Pennsylvania?

The most popular types of Quantitative jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Quantitative jobs?

Cities in Pennsylvania with the most Quantitative job openings:

Quantitative jobs near you
Infographic showing various Quantitative job openings in Pennsylvania as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $90,797 per year, or $43.7 per hour.

Quantitative Systematic Trader | Experienced Hire

Quant Blueprint LLC

Bala Cynwyd, PA • On-site

$80 - $120/hr

Other

Posted 5 days ago

Job description

Overview

Our Quantitative Systematic Traders connect ideas between trading, quantitative research, and technology to improve how trading decisions are made. As a true hybrid of our core disciplines, you will investigate ideas by immersing yourself in market data, leveraging mathematics, statistics, and programming. Through your research, you will discover new patterns that transform into trading signals, back test your results and carefully analyze its performance. As your trading strategy evolves, you will discuss with other quant researchers, strategists, and traders to collect feedback and brainstorm new ideas.

What we're looking for
  • Advanced Degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research or related discipline.
  • Demonstrate excellent analytical problem-solving and logical reasoning skills.
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood.
  • Experience writing code to process and analyze large sets of data, especially in Python.
  • Experience in C++ or other low level programming languages is a plus.
  • Demonstrated interest in strategic games and/or competitive activities.
  • Ability to thrive in a fast-paced environment.
  • Previous finance industry experience is not required, but a passion for financial problem sets with real time impact is crucial.
What you can expect from us

Real Impact: Solve complex technical challenges, working alongside other quantitative systematic traders, and a highly collaborative and agile environment. Increased competence of technical skills from a blend of research, development, and trading related problems. Directly seeing how your research contributions influence trading decisions making a firm-wide impact that makes us all smarter, faster, and better every day.

Balanced, Collaborative Working Culture: Our non-hierarchical culture allows employees of every level to thrive together regardless of title or tenure at Susquehanna. With industry-leading work/life balance and a casual office environment, we’re focused on continuous development of our people in a way that works for them professionally and personally.

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