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Quantitative Developer Python Jobs (NOW HIRING)

Quantitative Developer Location: New York, NY Position Type: 6 months Contract to hire Our client ... Develop and maintain Python-based analytics and research workflows integrated with production ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a ... Writing and maintaining Python and R code that supports the investment research production ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a ... Writing and maintaining Python and R code that supports the investment research production ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a ... Writing and maintaining Python and R code that supports the investment research production ...

As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly ... Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and ...

As a Quantitative Developer at Vatic Labs, you will collaborate with our team to build and rapidly ... Deep understanding of C++ and Python in a Linux environment, with an emphasis on low latency and ...

Quantitative Developer

New York, NY · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python and C++, including data analysis workflows (pandas, polars ...

NY · On-site

$95 - $130/hr

About The Role We're looking for an experienced Quantitative Developer; this role focuses on ... Strong proficiency in Python (experience with frameworks such as TensorFlow or PyTorch); knowledge ...

Showing results 21-40

Quantitative Developer Python information

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$98K

$169.7K

$259.5K

How much do quantitative developer python jobs pay per year?

As of Aug 20, 2026, the average yearly pay for quantitative developer python in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a quantitative developer Python?

A Quantitative Developer Python is a professional who designs, develops, and maintains software tools and models using Python to support quantitative analysis in finance and investment. They work closely with quantitative analysts (quants) to implement trading algorithms, risk models, and data analysis pipelines. Their expertise in both programming and financial mathematics allows them to translate complex quantitative strategies into efficient and scalable code, often integrating with large datasets and real-time trading systems.

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

To thrive as a Quantitative Developer Python, you need a strong background in mathematics, statistics, and programming—particularly with Python—and often a degree in computer science, engineering, or a related field. Expertise with libraries such as NumPy, pandas, and SciPy, as well as experience using version control systems like Git and familiarity with financial data platforms, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help differentiate top candidates in collaborative, high-stakes environments. These skills and qualities are vital for developing robust, efficient quantitative models that drive data-driven decision-making in finance or research settings.

What are the typical collaboration dynamics for a quantitative developer Python within a financial firm?

As a Quantitative Developer Python, you will frequently collaborate with quantitative analysts, traders, and other developers to design, implement, and optimize trading algorithms and risk models. Daily interactions often involve gathering requirements from quants, coding solutions, and integrating models into production trading systems. Effective communication is crucial, as you'll need to translate complex mathematical concepts into efficient, maintainable Python code while ensuring alignment with both business objectives and technical standards. This collaborative environment fosters continuous learning and provides opportunities to contribute to impactful projects.

What is the difference between Quantitative Developer Python vs Quantitative Analyst Python?

AspectQuantitative Developer PythonQuantitative Analyst Python
Primary FocusDeveloping trading algorithms, building infrastructure, and implementing modelsAnalyzing data, developing strategies, and assessing risk
Skills & CredentialsProgramming, software engineering, quantitative modelingStatistical analysis, financial modeling, programming
Work EnvironmentFast-paced trading firms, hedge funds, investment banksResearch departments, asset management firms, hedge funds
Tools & TechnologiesPython, C++, SQL, trading platformsPython, R, Excel, statistical software

While both roles require strong Python skills and quantitative knowledge, Quantitative Developers focus on building and maintaining trading systems and infrastructure, whereas Quantitative Analysts primarily analyze data and develop trading strategies. The developer role is more technical and engineering-oriented, while the analyst role emphasizes research and statistical analysis.

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Cities with the most Quantitative Developer Python job openings:

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Infographic showing various Quantitative Developer Python job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Developer

Strivector

Manhattan, NY • On-site

Other

Posted 27 days ago


Job description

Title:  Quantitative Developer

Location: New York, NY

Position Type: 6 months Contract to hire

Job Description:

Job Description:

Our client is seeking a Quantitative Developer with strong full-stack engineering capabilities to design and build high-performance analytics, trading, and optimization platforms used directly by front-office stakeholders. This role sits at the intersection of quantitative problem-solving and production engineering. The ideal candidate can translate complex trading, inventory, and client problems into efficient, scalable systems, with a strong focus on code quality, memory efficiency, and parallel execution.

Key Responsibilities
  • Design and implement front-office quantitative applications and analytics engines across the full stack
  • Develop high-performance backend services using C# with modern .NET (preferably .NET 8)
  • Build and optimize data pipelines and database interactions for large-scale datasets
  • Apply efficient memory management, performance optimization, and parallel computing techniques
  • Develop and maintain Python-based analytics and research workflows integrated with production systems
  • Collaborate with Sales, Trading, Risk, Technology, Finance, and Treasury teams
  • Own solutions end-to-end: requirements, design, implementation, testing, deployment, and optimization

Depth & Scope:

  • Gathers, researches information and analyzes the market
  • Executes detailed data analysis and valuation
  • Provides in-depth market reports and expert recommendations
  • Identifies issues affecting clients and provides recommendations to remedy
  • Develops deep client relationships and presents new ideas to clients
  • Executes trades and secures deals with new clients
  • Keeps market-making traders informed of relevant issues with their customers and products
  • Obtains market prices from market-making traders and executes the trade
  • Ensures all trades are confirmed with the broker/dealer
  • Inputs trades (post execution), and Verifies transactions meet company policies and followed approved guidelines
  • Researches and resolves trade discrepancies
  • Confirms trade blotters against trades booked in systems
  • Coordinates with back office on all failed trade status and communicates to front office
  • Coordinates with back office on position breaks and reports to the front office
  • Assists traders in mark-to-market process
  • Coordinates trade reconciliation discrepancy resolution with back office
  • Looks for ways to improve work flow efficiencies
  • Reads and understands the Trading Supervision Standard
  • Demonstrates governance, control and risk management behaviors in alignment with TD policies and practices

Education & Experience:

  • Bachelor''s degree, or specialized training / equivalent work experience
  • 3+ Years of related experience
  • Ability to work independently with minimal supervision, establishes priorities, and possesses strong communication, analytical and problem solving skills
  • Management experience and solid computer skills a must

Preferred Qualifications:

  • 2–4 years of experience as a Quant Developer, Quant Strats or Software Engineer in a trading or analytics environment
  • Strong proficiency in C# and modern .NET (ideally .NET 8) with production system experience
  • Full-stack engineering experience, including backend services and data access layers
  • Strong experience with databases, data modeling, and query optimization
  • Solid understanding of memory efficiency, performance tuning, and parallel or concurrent computing
  • Proficiency in Python and SQL for analytics and prototyping
  • Excellent problem-solving skills and strong analytical thinking
  • Experience with Azure, Snowflake, Docker, or Kubernetes
  • Exposure to high-throughput or low-latency systems
  • Knowledge of Prime Brokerage, Securities Lending, Equity Swaps, or trading platforms
  • Experience with time-series analysis, optimization, or quantitative modeling
  • Strong ownership mindset and ability to operate in a front-office environment
  • Comfortable bridging quantitative analysis and software engineering
  • Clear communicator with both technical and non-technical stakeholders