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Junior Quant Developer Jobs in New York (NOW HIRING)

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 ...

Posted today

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 ...

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 ...

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How much do junior quant developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior quant developer in New York is $116,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a junior quant developer?

A Junior Quant Developer is an entry-level role that combines software development with quantitative analysis in the finance industry. They assist in building and maintaining financial models, trading algorithms, and risk management tools. Typically, they work with programming languages like Python, C++, or Java and utilize mathematical and statistical techniques. Their responsibilities often involve data analysis, backtesting strategies, and optimizing trading systems. This role serves as a stepping stone toward becoming a full-fledged Quant Developer or Quantitative Analyst.

What does a junior quant developer do?

As a Junior Quant Developer, you can expect to assist with developing, testing, and optimizing quantitative models used for trading or risk assessment. Your day-to-day tasks may involve coding algorithms, analyzing large datasets, backtesting strategies, and debugging model performance, all under the guidance of more experienced team members. You’ll also have opportunities to work closely with traders, data scientists, and senior quants, contributing to both research initiatives and real-time trading systems. This collaborative environment provides excellent learning opportunities and valuable exposure to different aspects of quantitative finance, helping you build expertise for career growth.

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

To thrive as a Junior Quant Developer, you need strong programming skills (usually in Python, C++, or Java), foundational knowledge in mathematics and statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with quantitative libraries, financial modeling tools, and version control systems such as Git is often expected. Analytical thinking, teamwork, and effective communication are important soft skills for collaborating with senior developers and traders. These skills are essential for building robust quantitative models, contributing to complex projects, and growing within a fast-paced financial technology environment.

What are the most commonly searched types of Quant Developer jobs in New York?

The most popular types of Quant Developer jobs in New York are:

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For Junior Quant Developer jobs in New York, the most frequently searched job titles are:

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Junior Quant Developer jobs near you
Infographic showing various Junior Quant Developer job openings in New York as of August 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,870 per year, or $56.2 per hour.

Graduate Quantitative Developer London; New York

DeepFin Research

Manhattan, NY • On-site

$80 - $110/hr

Other

Posted 3 days ago

New

Job description

DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting-edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets.

Our team is lean, highly technical, and impact-driven - every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.

Junior Quant Developer — Backtesting, Simulation & Research, Productionise Research (C++/Python) Role Overview

We’re hiring a junior Quant Developer to help productionise research into robust, high-performance trading systems. You’ll work closely with Quant Researchers and senior engineers to convert Python research code into production C++, build and optimise backtesting / simulation infrastructure, and support strategy development using L3 market data across multiple venues.

This is a hands‑on, engineering‑heavy role in a fast‑moving environment: you’ll own components end‑to‑end and contribute directly to research velocity and trading PnL.

Key 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.
Requirements
  • 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.

If you’re passionate about applying advanced technology to real‑world markets and want to work alongside a focused, high‑performing team, we’d love to hear from you. DeepFin offers a collaborative, research‑driven environment where ideas move quickly from concept to execution and where every contribution has visible impact.

Join us in building the next generation of deep‑learning‑driven trading systems - shaping the future of finance through innovation, rigour, and technology.

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