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Junior Quant Jobs (NOW HIRING)

Point72

Quantitative Software Developer

New York, NY · On-site

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

Point72

Quantitative Software Developer

New York, NY · On-site

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

Point72

Quantitative Software Developer

Manhattan, NY · On-site

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

Socket.dev

Quantitative Developer

Manhattan, NY · On-site

$125 - $175/hr

We are looking for a Junior Quant Developer to join the Platform & Operations team. This is an ideal opportunity for a technically strong, early-career candidate who enjoys solving real problems and ...

New

Keybank

Quant Analytics Sr. Associate

Cleveland, OH · On-site

Serve as a role model to others; provide input to work product of junior staff; Help others to ... quantitative disciplines and at least 5 years of relevant experience DATA LITERACY * Working ...

Akuna Capital

Junior Trader

Chicago, IL · On-site

$145K/yr

What you'll do as a Junior Trader at Akuna: We are seeking bright, math-savvy, competitive, and ... Crypto * Quantitative Strategy Group Qualities that make great candidates: * BS/MS/PhD degree in ...

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How much do junior quant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for junior quant in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What is a junior quant?

Junior Quants, short for Junior Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and programming skills to analyze financial data and develop models for tasks such as pricing, risk management, and trading strategies. They typically work in investment banks, hedge funds, or financial technology firms under the guidance of senior quantitative analysts. Their responsibilities may include data analysis, coding algorithms, backtesting trading strategies, and supporting senior team members in research and decision-making. Junior Quants often hold degrees in fields like mathematics, physics, engineering, or computer science and may be familiar with programming languages such as Python, R, or C++.

What are the key skills and qualifications needed to thrive as a junior quant?

To thrive as a Junior Quant, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and typically a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is often required. Outstanding analytical thinking, attention to detail, and the ability to work collaboratively in high-pressure environments are crucial soft skills. These skills and qualities enable Junior Quants to deliver accurate models and insights that drive successful trading and risk management decisions.

What are some common challenges faced by junior quants when transitioning from academic work to industry roles?

Junior Quants often find that moving from academic environments to industry roles presents challenges such as adapting to fast-paced deadlines, learning to work within multidisciplinary teams, and applying theoretical models to real-world, often noisy, data. In industry, there's a strong emphasis on producing actionable results and collaborating closely with traders, developers, and other stakeholders. Developing strong communication skills and becoming proficient with industry-standard tools and programming languages are key to overcoming these challenges and excelling in the role.

What is the difference between Junior Quant vs Quant Analyst?

AspectJunior QuantQuant Analyst
Required CredentialsBachelor's degree in Math, Finance, or related field; some internshipsBachelor's or Master's degree; often requires some experience
Work EnvironmentEntry-level, supportive team, learning-focusedMore independent, analytical, and project-driven
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, investment banks, hedge funds

Junior Quants are typically entry-level roles requiring foundational skills and limited experience, focusing on learning and supporting senior staff. Quant Analysts usually have more experience, handling complex models and analysis independently. Both roles are common in finance and investment sectors, but Quant Analysts have greater responsibilities and expertise.

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Junior Quant jobs near you
Infographic showing various Junior Quant job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Quantitative Fixed Income Researcher

The TCW Group

Los Angeles, CA • On-site

$150K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Position Summary
TCW Quantitative Research Team develops models, algorithms, and tools used to drive and support systematic and fundamental investment strategies. The team supports investment teams and traders across all asset classes to integrate data-driven insights and quantitative techniques into the investment process.
The Quantitative Fixed Income Researcher role is highly collaborative, working closely with senior quantitative researchers, the head of quantitative research to design, test, and implement models and investment strategies. By analyzing a diverse range of financial and economic data, the researcher leverages statistical, machine learning, and econometric techniques to enhance our investment process. The role partners closely with fixed-income investment teams to support investment thesis development and enhance alpha generation, while clearly communicating research findings to a wide range of stakeholders and staying current on relevant academic literature and market developments.
Essential Duties
  • Lead quantitative research on fixed-income products in private and public markets.
  • Thought partner to PMs and integrate research outputs into investment process
  • Enhance fixed-income aspects of TCW's multi-asset, multi-factor framework.
  • Own research streams end-to-end (idea → back tests → production → monitoring).
  • Review, challenge, and improve model assumptions, data quality, and robustness.
  • Set research priorities jointly with the head of quantitative research.
  • Contribute to research standards, documentation, and best practices.
  • Mentor and review work of junior quants.
  • Communicate complex quantitative results clearly to PMs, traders, risk, and leadership.

Required Qualifications
  • Deep experience in fixed income markets and instruments, both public and private.
  • Advanced training in Mathematics, Statistics, Physics, Computer Science, Econometrics, Finance, or another highly quantitative field. MSc or equivalent.
  • Minimum 5 years of work experience with fixed-income products with strong emphasis on quantitative methods.
  • Experience with factor models and portfolio optimization techniques in fixed income.
  • Extensive experience in coding in Python.

Professional Skills Qualifications
  • Experience within a quantitative hedge fund or asset manager highly desired; equivalently, sell-side fixed-income research with published research pieces.
  • Experience in modern version-controlled research environments, i.e. git and docker.
  • Familiarity with agentic coding (e.g. Claude Code or similar).
  • Strong knowledge of probability and statistical techniques (e.g. time-series, cross-sectional and panel regressions, CART models, ensemble learning, dynamic factor models, Monte Carlo methods, Copula models, GARCH/stochastic volatility models)

Desired Qualifications
  • Experience with private credit and securitized products would be a strong plus.
  • Expertise in the application of factor investing in fixed income would be a plus.

Estimated Compensation:
Base Salary: For CA based position, the base salary range is $150k to $175k. This is an anticipated range only.
Other Compensation and Benefits: In addition to base salary, employees are eligible for a discretionary bonus and a comprehensive benefits package designed to support you and your family, invest in your health and wellbeing, and help build long-term financial security. Benefits include medical, dental, and vision coverage, retirement benefits, and paid time off. These benefits reflect our commitment to supporting the health, wellbeing, and long-term financial security of our employees and their families.
#LI-SW1 #LI-Hybrid

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