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Junior Quantitative Developer Jobs in New York (NOW HIRING)

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 ...

WorldQuant LLC

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 ...

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

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 ...

Citigroup, Inc.

Model/Anlys/Valid Sr Analyst

New York, NY · On-site

$160K - $175K/yr

Provide training to junior quantitative analysts on model methods and techniques used to develop ... Stochastic calculus; and Python programming. Applicants submit resumes at Please reference Job ID ...

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$26.3K

$97.3K

$150.4K

How much do junior quantitative developer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for junior quantitative developer in New York is $97,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $95,200.00 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 New York as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $97,342 per year, or $46.8 per hour.

Graduate Quantitative Developer

DeepFin Research

Manhattan, NY • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
DeepFin Research is a systematic proprietary trading firm focused on integrating deep learning with quantitative research methods and advanced trading technology. They are seeking a Junior Quant Developer to help productionise research into high-performance trading systems, collaborating closely with Quant Researchers and senior engineers to convert Python code into production C++ and improve backtesting infrastructure.
Responsibilities:
• Productionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.
• Backtesting & simulation: build and improve simulation systems that reflect real market mechanics (order book, fills, cancels, exchange rules).
• L3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines from raw exchange data.
• Performance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures, parallelism where appropriate).
• Research support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.
• Debugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and implement fixes with strong test coverage.
• Cross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements from idea → test → production.
Qualifications:
Required:
• Education: Bachelor’s or Master’s from a top university in Computer Science, Engineering, Math, Physics, or similar.
• 0-3 years experience in quantitative finance or other relevant data-intensive industries working with C++
• Strong working knowledge of C++ (memory, ownership, STL, performance-aware coding).
• Experience: demonstrable evidence of hands-on systems work in C++ handling large-scale data (internships, research labs, competitive projects, open-source).
• Comfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus).
• Exposure to quantitative finance, eg through internships/university societies, including market microstructure and L3/order book data.
• Clear “builder mindset”: you like owning problems end-to-end, shipping incrementally, and iterating quickly.
Company:
DeepFin Research develops systematic high-frequency trading systems using machine learning and quantitative finance. Founded in 2023, the company is headquartered in London, GBR, with a team of 11-50 employees. The company is currently Early Stage.

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