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Senior Quantitative Developer Jobs in Secaucus, NJ

Senior Quantitative Developer

New York, NY ยท On-site

$59.50 - $78.75/hr

About the Role Polymarket is looking for a Senior Quantitative Developer to join the team that runs the data infrastructure powering our platform - real-time pipelines, clean market data, and ...

Senior Quantitative Developer

Manhattan, NY

$60 - $79.25/hr

If you are a talented developer with financial market experience who is looking to work on some of ... learn from senior staff as well as our clients that include some of the most sophisticated ...

They are seeking a senior Quantitative Developer to join their Portfolio Management Analytics team, responsible for the development and enhancement of their analytics platform for fixed income ...

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Senior Quantitative Developer information

How does a Senior Quantitative Developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is a Senior Quantitative Developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

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

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

What are the key skills and qualifications needed to thrive as a Senior Quantitative Developer, and why are they important?

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.
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Infographic showing various Senior Quantitative Developer job openings in Secaucus, NJ as of July 2026, with employment types broken down into 83% Full Time, 6% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Senior Quantitative Developer

SysMind Tech

Manhattan, NY โ€ข On-site

Full-time

Re-posted 13 days ago


Job description

Designation: Senior Quantitative Developer
Experience: 10-12 Years
Location: New York
Required Skills
  • Strong expertise in Java and Python.
  • Experience with RDBMS and NoSQL databases.
  • Ability to maintain, improve, and build best-in-class index/benchmark construction models (e.g., optimization, target exposure).
  • Experience in analytics such as turnover, volatility, Sharpe ratio.

Key Responsibilities
  • Support, improve, and build out Yield Book's quantitative index/benchmark construction models and analytics.
  • Implement end-to-end production workflows for:
    • Bond indexes
    • Currency benchmarks
    • Interest rate benchmarks
    • Commodities indexes
    • Digital assets indexes
  • Manage a team of 5 developers.
  • Lead development efforts for index/benchmark models and analytics.
  • Propose innovative solutions leveraging cutting-edge technology (e.g., Generative AI) Commit to improving existing implementations and learning the cloud platform to lead data processing and model development.
  • Build and maintain strong relationships with internal stakeholders (developers, data teams, research, client services, product management).
  • Work closely with product delivery to align quantitative delivery priorities and timelines with business and client expectations

Candidate Profile / Key Skills
  • 10+ years of proven track record in quantitative development.
  • Strong quantitative skills in mathematics and numerical analysis.
  • Advanced technical degree (Computer Science, Engineering, Statistics, Physics, Mathematics) preferred.
  • Strong working knowledge of Java and Python.
  • Familiarity with the fixed income market preferred.
  • Prior experience in model and data integration in large-scale commercial applications.
  • Excellent communication skills - ability to articulate complex ideas concisely.
  • High attention to detail, ability to work in a fast-paced environment.