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Algorithmic Execution Quant Jobs in Hoboken, NJ (NOW HIRING)

Man Group plc

Principal Quant

Manhattan, NY · On-site

$200K - $250K/yr

Global asset class coverage: lead the expansion of Man's internal algorithmic execution to global ... PhD or exceptional Masters / Bachelors qualification in a quantitative subject * Expertise in ...

UBS

Execution Trader, Asset Management

New York, NY · On-site

$145K - $200K/yr

... quantitative insights to support trading decisions • familiarity with OMS/EMS platforms, algorithmic execution tools, transaction cost analysis (TCA), and trading analytics. • interest in ...

Quant Blueprint LLC

Quantitative Developer

Manhattan, NY · On-site

$130 - $160/hr

Overseeing automated trade execution and monitoring transaction costs. * Supervising a small team ... Designing and developing quantitative mathematical algorithms to link the diverse data sets from ...

G-20 Group

Equity Options Trader

New York, NY · On-site

Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of corporate actions, earnings events ...

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All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Hoboken, NJ

Algorithmic Execution Quant information

See Hoboken, NJ salary details

$57.4K

$130.4K

$215K

How much do algorithmic execution quant jobs pay per year?

As of Aug 15, 2026, the average yearly pay for algorithmic execution quant in Hoboken, NJ is $130,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $166,800.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What does an algorithmic execution quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.

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

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

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

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

Algorithmic Execution Quant jobs near you
Infographic showing various Algorithmic Execution Quant job openings in Hoboken, NJ as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $130,377 per year, or $62.7 per hour.

GBM Public - CRB FICC Quant Researcher - New York - GBM Public

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Re-posted yesterday

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description


FICC Quantitative Researcher, Associate / VP, New York
We are a team of FICC Quantitative Researchers who work to transform the Fixed Income, Currencies, and Commodities (FICC) business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as Interest Rates (IR), Foreign Exchange (FX), Credit, and Commodities, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm.
Role Responsibilities:
  • Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products.
  • Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions.
  • Implement frameworks to manage risk centrally and build optimal portfolios across FICC asset classes.
  • Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data, ensuring accuracy and compliance.
  • Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams to enhance core analytics infrastructure and trading tools.
  • Develop and enhance critical pricing, trading, and risk tools, and create new frameworks leveraging trade and franchise data to optimize and systematize market making and hedging strategies.

Basic Qualifications:
  • Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
  • Strong programming skills in an object-oriented or functional paradigm such as C++, Java, or Python.
  • Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment.

Excellent written and verbal communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$300000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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