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Quantitative Analyst Physics Jobs (NOW HIRING)

Bachelor's degree in Computer Science, Mathematics, Quantitative Finance, Physics, Engineering ... analytics and modeling, or related fields. * Hands-on experience building, validating, and ...

Credit Quantitative Analyst

New York, NY · On-site

$175K - $250K/yr

A Master's degree or higher in a quantitative field such as Mathematics, Physics, Financial ... Strong proficiency in Python for analytics, tooling, and data analysis. * Deep understanding of ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

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Quantitative Analyst Physics information

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$56.5K

$133.9K

$240K

How much do quantitative analyst physics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for quantitative analyst physics in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and finance, and may involve using tools like Python, R, or MATLAB. The firm regularly recruits quants with advanced degrees in quantitative fields such as physics, mathematics, or engineering.

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

Quantitative analysts in finance, hedge fund managers, and senior investment professionals can earn $1,000,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced degrees, strong analytical skills, and experience with financial modeling, programming, and risk management tools.

How does a background in physics benefit a Quantitative Analyst when working with financial models?

A background in physics equips Quantitative Analysts with strong analytical and problem-solving skills, which are essential for building and refining complex financial models. Physics training often involves advanced mathematics, statistical analysis, and computational techniques, all of which translate directly to modeling financial markets and risk. Additionally, physicists are adept at handling large datasets and identifying patterns, making them valuable team members in both research and strategy development. Collaboration is common, as Quantitative Analysts frequently work alongside software developers, traders, and other analysts to implement and optimize their models.

Why do quants hire physicists?

Quantitative analysts often hire physicists because their strong background in mathematical modeling, problem-solving, and data analysis aligns with the skills needed in finance and trading. Physicists are trained to develop complex algorithms and work with large datasets, which are essential in quantitative finance roles that involve risk management, pricing, and algorithmic trading.

What is a Quantitative Analyst Physics?

A Quantitative Analyst in Physics applies advanced mathematical, statistical, and computational techniques—often rooted in physics—to analyze financial markets and develop models for pricing, risk management, and trading strategies. They leverage their physics background to solve complex problems involving large data sets and stochastic processes commonly found in finance. These professionals often work in investment banks, hedge funds, or financial technology firms, where their analytical skills help inform critical business decisions.

Can I be a quant with a physics degree?

A physics degree provides a strong foundation in quantitative skills, problem-solving, and mathematical modeling, which are highly relevant for a quantitative analyst role. Many quants have backgrounds in physics, mathematics, or engineering, and they often use programming languages like Python or C++ and statistical tools to analyze financial data. Additional certifications such as CFA or specialized training in finance can enhance prospects in this field.

What are the key skills and qualifications needed to thrive as a Quantitative Analyst specializing in Physics, and why are they important?

To thrive as a Quantitative Analyst in Physics, you need a strong background in mathematics, statistical analysis, and physics, often supported by an advanced degree such as a Master's or PhD in a quantitative field. Expertise in programming languages (such as Python, R, or MATLAB), financial modeling software, and data analysis tools is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills and qualifications are essential for developing accurate models and making informed decisions in data-driven, high-stakes environments.
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Quantitative Analyst

Quantitative Analyst

Beacon Health System

Baltimore, MD • On-site

$150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago


Beacon Health System rating

6.7

Company rating: 6.7 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

518th of 881 rated healthcare providers


Job description

As a Quantitative Research Analyst, you will work at the intersection of quantitative finance, data, and machine learning. You will design, prototype, and productionize models - both machine learning and classical statistical/financial - that power the research delivered to our subscribers. You'll partner with senior quantitative analysts to take ideas from hypothesis to backtest to publication-ready research.
Responsibilities
  • Understand the theory and practical implementation of quantitative finance and data science techniques.
  • Design and implement new quantitative models - balanced across machine learning and classical statistical/econometric/financial models - to support research products.
  • Evaluate, backtest, and iterate on new and existing models.
  • Build and maintain reproducible research data pipelines that query, stage, and transform data from PostgreSQL and other internal and external sources (vendor APIs, flat files, cloud storage).
  • Conduct ad-hoc research and produce written and visual analyses to communicate findings to senior analysts and stakeholders.
  • Work closely with quantitative researchers, engineers, and product managers to understand requirements and enhance data-driven systems.
  • Document and hand off research artifacts (models, signals, datasets) to engineering for production integration.
  • Optimize research code and data workflows for speed and reproducibility.
  • Proactively address data quality issues and implement solutions to ensure data accuracy and reliability.

The ideal candidate will be an analytical and technical problem solver, curious about financial markets and quantitative finance, and able to work autonomously and as part of a distributed team.
Qualifications
Required
  • Bachelor's degree in Computer Science, Mathematics, Quantitative Finance, Physics, Engineering, Financial Engineering, Statistics, or a similar discipline.
  • 3-5 years of relevant work experience in quantitative finance, data analytics and modeling, or related fields.
  • Hands-on experience building, validating, and deploying both machine learning models (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow) and classical statistical/econometric models (e.g., statsmodels, time-series methods), with the judgment to choose the right tool for the problem.
  • Strong programming skills in Python, including pandas, NumPy, and the scientific stack; comfort writing modular, testable code and using Git.
  • Proficiency with SQL and relational databases (PostgreSQL preferred), including complex joins, window functions, and query performance tuning. Experience designing or contributing to data staging and transformation workflows.
  • Experience working with financial time-series data and an understanding of common pitfalls (look-ahead bias, survivorship bias, regime changes).
  • Familiarity with backtesting frameworks and standard performance/risk metrics (Sharpe, drawdown, turnover, etc.).
  • Familiarity with quantitative finance concepts and financial instruments.
  • Working knowledge of financial statements and fundamental data sufficient to incorporate them as model features.
  • Excellent communication skills and the ability to collaborate effectively within a dynamic team.
Nice to Have
  • Exposure to cloud data infrastructure on AWS.
  • Strong academic or professional background in quantitative finance.
What We Offer
  • Be part of a creative, fast-paced team that produces high-profile financial content.
  • An entrepreneurial and innovative environment
  • Competitive salary at $150,000, commensurate with experience.
  • Comprehensive benefits package including health, dental, and vision insurance, 401 (k) match, and 12 paid company holidays.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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