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Quant Engineer Jobs in Hoboken, NJ (NOW HIRING)

Quant Engineer - Python

Manhattan, NY ยท On-site

$165 - $300/hr

Work with partners in Engineering and other organizations to specify improvements that produce the ... Can research and implement decision logic in various quantitative frameworks, ranging from utility ...

New

Quant Developer

New York, NY ยท On-site

$200K - $300K/yr

As a quantitative developer at Frec, you'll create products that enable us to level the financial playing field and empower people to manage their own money. Some values we identify with are ...

Quantitative Developer

Manhattan, NY ยท On-site

$130 - $160/hr

Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.

Quant Researcher

New York, NY ยท On-site

$200K - $300K/yr

As a quantitative developer at Frec, you'll create products that enable us to level the financial playing field and empower people to manage their own money. Some values we identify with are ...

Quant Developer

Jersey City, NJ ยท On-site

$80 - $90/hr

On-site in Jersey City, NJ Our client seeks a senior software engineer to lead design and ... You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust ...

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Quant Engineer information

See Hoboken, NJ salary details

$41.6K

$99.1K

$164.7K

How much do quant engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quant engineer in Hoboken, NJ is $99,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $109,400.00 per year, depending on experience, location, and employer.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What job categories do people searching Quant Engineer jobs in Hoboken, NJ look for?

The top searched job categories for Quant Engineer jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Quant Engineer jobs?

Cities near Hoboken, NJ with the most Quant Engineer job openings:

Quant Engineer - Python

Quant Blueprint LLC

Manhattan, NY โ€ข On-site

$165 - $300/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Company Overview

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.

Responsibilities
  • Take on primary responsibility for monetization research in a team that organizes work into three groups: (a) features, (b) predictive modeling and (c) monetization, and focuses especially on macro markets as above
  • Work on design and iterative improvement of the decision logic that the actions of our monetization engine come out of - for example through utility function design or rulesโ€‘based logic and calibration of the decision logic parameters with historical simulations and eventually postโ€‘trade data
  • Reflect the limitations of TS infrastructure in our monetization design to produce estimates that are unbiased vs. our live realization. Work with partners in Engineering and other organizations to specify improvements that produce the most benefit.
  • Reflect monetization reality in fit targets / responses being used for predictive research. Initiate research on liquidity events / triggers on which our decision logic fires.
  • Our team is tightly knit and open, and we constantly work in adjacent areas, so if there is interest, work into feature creation and predictive modeling, especially with a monetization eye, is also always welcome.
Qualifications
  • Have worked on monetization of signals that range in the horizon over which they have predictive power from a few minutes to about a day
  • Have a strong understanding of the microstructure of the major futures exchanges, including CME, ICE and Eurex; tested through application to create features for prediction and for conditioning trading
  • Can research and implement decision logic in various quantitative frameworks, ranging from utility function optimization to rulesโ€‘based trading
  • Have deployed latencyโ€‘sensitive strategies in futures and other macro markets including FX, Treasuries, macro ETFs, etc., possibly including crypto assets
  • We have a preference for candidates who have done numerate graduate work, for example in operations research, probability and statistics, signal processing, computer science, machine learning, or other numerate engineering disciplines and hard sciences.
Benefits
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employerโ€‘paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible inโ€‘office days with budget for home office setup
Compensation

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

Equal Opportunity Employment

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Reasonable Accommodations

Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws. If you believe you need an accommodation, please visit our website for additional information.

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