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Quantitative Developer Jobs in New Jersey (NOW HIRING)

We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a ...

Quantitative Analyst

Jersey City, NJ · On-site

$120 - $180/hr

... quantitative models, research, with deep understanding in fixed income and/or market risk ... Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with ...

... quantitative models, research, with deep understanding in fixed income and/or market risk ... Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with ...

• 5+ years of working experience and must have 3+ years of hands-on experience in quantitative ... programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus. • Knowledge of ...

* 5+ years of working experience and must have 3+ years of hands-on experience in quantitative ... Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with ...

5+ years of working experience and must have 3+ years of hands-on experience in quantitative models ... Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with ...

... quantitative models, research, with deep understanding in fixed income and/or market risk ... Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with ...

Showing results 21-40

Quantitative Developer information

See New Jersey salary details

$99.5K

$172.3K

$263.5K

How much do quantitative developer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative developer in New Jersey is $172,314.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $202,000.00 per year, depending on experience, location, and employer.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

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

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Quantitative Developer jobs in New Jersey?

The most popular types of Quantitative Developer jobs in New Jersey are:

What job categories do people searching Quantitative Developer jobs in New Jersey look for?

The top searched job categories for Quantitative Developer jobs in New Jersey are:

What cities in New Jersey are hiring for Quantitative Developer jobs?

Cities in New Jersey with the most Quantitative Developer job openings:

What are popular job titles related to Quantitative Developer jobs in NJ?

For Quantitative Developer jobs in NJ, the most frequently searched job titles are:

Infographic showing various Quantitative Developer job openings in New Jersey as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $172,314 per year, or $82.8 per hour.

Quantitative Analyst, Quantitative Strategies Group

Cross River

Fort Lee, NJ • On-site

$150K - $200K/yr

Full-time

Re-posted 12 days ago


Job description

Who We Are

Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance.

What We're Looking For

The Quantitative Strategies Group (QSG) at Cross River is seeking an Associate/AVP, Quant Strategist to join its growing team. The team sits within the Capital Solutions Group (CSG) and serves as a centralized function for investment intelligence and quantitative decision making across investment, structuring, and portfolio management initiatives. The role sits at the intersection of structured finance, investment strategy, and advanced analytics - bridging the gap between raw data and capital decisions.

The role will work closely with the Structured Products Group (SPG) and Principal Finance Group (PFG) to support investment underwriting, new deal origination, term ABS issuance/advisory, and active portfolio management. The ideal candidate will combine strong analytical and technical skills with commercial judgement - someone who can analyze collateral performance, understand relevant risk factors, form a view on underlying assets, build scalable analytical tools, and translate complex quantitative outputs into clear investment recommendations. This is a high-impact role for someone who wants exposure to live transactions, structured credit markets, and data-driven decision-making.

Responsibilities:

  • Work closely with SPG and PFG to provide quantitative and analytical insights across investment opportunities, ABS securitizations, and structured credit transactions - from deal inception through execution
  • Support capital commitment objectives through systematic underwriting of investment opportunities. Deliver refined and polished views on analytics, base/stress assumptions, and cashflow models that accurately capture the risk/reward dynamics of potential trades
  • Support investment advisory mandates by producing market-ready analytics, comparative deal analyses, and performance benchmarks that help articulate differentiated value proposition to clients and counterparties
  • Develop and maintain analytical frameworks to evaluate collateral pools, form views on key pricing assumptions (e.g., prepayment speeds, default/loss curves), and deliver actionable insights that inform deal economics and structuring decisions
  • Translate quantitative outputs into clear/concise narratives and presentation materials that support pitch efforts, client discussions, and internal committees
  • Partner with the team to identify, prioritize, and integrate high-impact AI use cases across workflows. Explore and implement AI-driven approaches to collateral analysis using LLMs and Python based tools
  • Partner with other functions within CSG and across the bank to ensure consistency in assumptions, methodologies, and market intelligence used across the group

Qualifications:

  • Master's degree in financial engineering, math, statistics, computer science, or any another quantitative/analytical field required
  • 3+ years of experience in Structured Finance, Securitization, or broader Fixed Income markets is required. Direct exposure to ABS products is strongly preferred
  • Strong understanding of cashflow modeling and securitization mechanics - deal waterfalls, tranche structures, collateral performance analysis is preferred
  • Proficiency in advanced excel & programming is required for this role. Hands-on experience in Python & SQL is critical for success
  • Excellent communication and presentation skills - ability to distill complex analytics into clear, persuasive narratives for both internal stakeholders and external counterparties
  • Builder's mentality - someone who doesn't just use existing tools but actively seeks to improve how the team works by introducing new technologies, frameworks, and AI-driven efficiencies
  • Ability to thrive in a fast-paced, deal-driven environment with competing priorities and tight turnaround times
  • Detail-oriented with strong organizational skills and a proactive, ownership-driven mindset

#LI-JJ1 #LI-Hybrid #LI-Onsite

Salary Range: $150,000.00 - $200,000.00