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Junior Quantitative Developer Jobs (NOW HIRING)

Trading Interview

$175K - $250K/yr

About the Position We are actively seeking a Junior Quantitative Researcher (Ph.D.) to join our ... Must have programming skills in Python and C++ are a prerequisite * Demonstrated exceptional ...

Trading Interview

$125K - $150K/yr

The junior t trader needs to be driven and have a passion for understanding how things work. The ... A degree in a quantitative field such as computer sci ence, engineering, or one of the hard ...

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How much do junior quantitative developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for junior quantitative developer in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a junior quantitative developer?

A Junior Quantitative Developer is responsible for developing, implementing, and maintaining quantitative models and tools used in trading, risk management, or financial analysis. They work closely with quantitative analysts and traders to optimize algorithms, improve performance, and ensure data accuracy. This role typically requires strong programming skills in languages like Python, C++, or Java, along with a solid understanding of mathematics, statistics, and financial markets. Junior Quantitative Developers often contribute to backtesting trading strategies, optimizing execution algorithms, and improving financial models. The position serves as a foundational step for a career in quantitative finance, providing hands-on experience in both development and financial modeling.

What are the typical daily responsibilities of a junior quantitative developer?

As a Junior Quantitative Developer, your daily tasks often include writing and optimizing code to implement quantitative models, analyzing large datasets, and performing model validation or back-testing. You’ll also collaborate closely with senior quants, traders, and software engineers to refine strategies or troubleshoot issues as they arise. Additionally, you may maintain documentation, participate in code reviews, and stay updated with the latest development practices and financial concepts. This role offers a dynamic experience that builds both your technical programming skills and your understanding of financial markets.

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

To thrive as a Junior Quantitative Developer, you need a solid background in mathematics, statistics, and programming—often supported by a relevant degree in fields like computer science, engineering, or quantitative finance. Familiarity with programming languages such as Python, C++, or R, as well as experience using version control systems and exposure to financial data platforms, is highly valuable. Attention to detail, strong analytical thinking, and effective collaboration skills help you excel in dynamic, team-based environments. These capabilities are essential for developing and maintaining quantitative models that support data-driven decision-making in finance or related sectors.

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Junior Quantitative Developer jobs near you
Infographic showing various Junior Quantitative Developer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $88,976 per year, or $42.8 per hour.

Senior Quantitative Researcher

Manhattan, NY • On-site

Anson McCade
See more jobs at Anson McCadeexternal

Full-time

Re-posted 5 days ago

Job description

$200,000-250,000 USD
Performance-based bonus
Onsite WORKING
Location: New York, New York - United States Type: Permanent
Senior Quantitative Researcher - Quantamental Investing/Alpha Capture (New York)
Our client is a multi-strategy hedge fund which is scaling a team based in New York. They are hiring a Senior Quantitative Researcher ( 5+ years) with experience in fundamental alpha research. The role will encompass taking a scientific approach to traditional, fundamental and alternative datasets to research and enhance predictive signals for US equities.
The successful candidate will act as a Senior on the team, leading junior Quantitative Researchers and taking ownership of their own strategy research, using varying types of datasets and identifying new sources of alpha.
The Role:
  • Alpha research on US equity markets, using a mix of quantitative and quantamental research on traditional quant/fundamental and alternative data.
  • Assessing the efficacy of new datasets, working on preprocessing and feature engineering.
  • Portfolio construction and optimisation, risk modelling, and transaction cost analysis.
  • Leading and collaborating with other members of the team.
Requirements:
  • 5+ years of experience in alpha research, with a track record in developing high Sharpe strategies.
  • A Master's or PhD degree in a quantitative field, such as Maths, Physics, or Computer Science.
  • Expert level Python

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