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Full Time Risk Quant Jobs in Philadelphia, PA (NOW HIRING)

PNC

Associate Equities Analyst

Philadelphia, PA

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

PNC Bank

Associate Equities Analyst

Philadelphia, PA · On-site

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

Ennoble Care

Sr. Medical Economics Analyst

Marlton, NJ · Remote

$120K - $140K/yr

Key Responsibilities Risk Assessment & Medicare Analytics * Develop and maintain sophisticated risk ... Full-time employees qualify for the following benefits: * Medical, Dental, Vision and supplementary ...

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Showing results 21-40

All JobsRisk Quant JobsFull Time Risk Quant JobsFull Time Risk Quant Jobs in Philadelphia, PA

Full Time Risk Quant information

See Philadelphia, PA salary details

$98.9K

$171.3K

$261.9K

How much do full time risk quant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for full time risk quant 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 is the difference between Full Time Risk Quant vs Quantitative Analyst?

AspectFull Time Risk QuantQuantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like CFA or FRMSimilar educational background; often CFA or FRM beneficial
Work EnvironmentFinancial institutions, risk management teams, trading floorsInvestment banks, asset management firms, hedge funds
Employer & Industry UsagePrimarily in risk management departments within financeAcross various finance sectors including trading, investment analysis
Comparison Search IntentUnderstanding risk-focused roles in financeAnalyzing financial data and models for investment decisions

Full Time Risk Quants focus on assessing and managing financial risks using quantitative models within risk management teams. Quantitative Analysts, while similar, often have a broader role in developing models for trading, investment strategies, or financial analysis. Both roles require strong quantitative skills and relevant certifications, but their primary focus and work environments differ slightly.

What are the most commonly searched types of Risk Quant jobs in Philadelphia, PA?

The most popular types of Risk Quant jobs in Philadelphia, PA are:

What are popular job titles related to Full Time Risk Quant jobs in Philadelphia, PA?

For Full Time Risk Quant jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Full Time Risk Quant jobs in Philadelphia, PA look for?

The top searched job categories for Full Time Risk Quant jobs in Philadelphia, PA are:

Full Time Risk Quant jobs near you
Infographic showing various Full Time Risk Quant job openings in Philadelphia, PA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $171,271 per year, or $82.3 per hour.

Machine Learning Internship - PhD: 2027

Susquehanna

Bala Cynwyd, PA

Full-time, Internship

Posted 8 days ago

Job description

Overview

Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.

As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.

What You Can Expect

  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for

  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?

  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

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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