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Algorithm Quant Jobs (NOW HIRING)

We're launching a dedicated algorithmic division-and we're looking for a Head of Quant Trading to architect and scale this effort from day one. Role Summary You will spearhead the development ...

Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. * Engineering investment models that will make the buy and sell recommendations for ...

Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the ...

Quant Developer

New York, NY · On-site

$200K - $300K/yr

Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the ...

Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the ...

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 ...

As a part of our Quant team, you'll be studying the crypto market to find profitable trading ... Solid grasp of data structures, algorithms, software engineering principles, and version control.

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Algorithm Quant information

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$98K

$169.7K

$259.5K

How much do algorithm quant jobs pay per year?

As of Sep 10, 2026, the average yearly pay for algorithm quant 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 are popular job titles related to Algorithm Quant jobs?

For Algorithm Quant jobs, the most frequently searched job titles are:

Algorithm Developer (Quant Research & Trading) - 2027 Grads

London, CA

$300K/yr

Full-time

Re-posted 28 days ago


Job description

Hudson River Trading (HRT) is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability.

Ideal candidates are strong researchers eager to learn new skills, who can work both independently and collaboratively to solve problems efficiently.

Qualifications

  • You are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027
  • Experience programming in Python and/or C++
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • A passion for applying quantitative models and technology toward solving real-world problems
  • Brilliant analytical and problem-solving skills
  • Ability to work creatively and independently on long-term technical problems

Base salary for US is $300,000. Other locations have similarly locally competitive base salaries. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.