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Hedge Fund Quantitative Developer Jobs Near Me

Quantitative Analyst

London, OH · On-site

$120 - $180/hr

... hedge funds. The company is a dynamic, small, flat-structured organization with offices in major ... Experience with C++ and/or Python programming. * Knowledge of derivatives pricing models and ...

Hedge Fund Quantitative Developer information

See salary details

$169K

$210.6K

$240.5K

How much do hedge fund quantitative developer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for hedge fund quantitative developer in the United States is $210,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $187,500.00 and $233,800.00 per year, depending on experience, location, and employer.

What cities are hiring for Hedge Fund Quantitative Developer jobs?

Cities with the most Hedge Fund Quantitative Developer job openings:

What states have the most Hedge Fund Quantitative Developer jobs?

States with the most job openings for Hedge Fund Quantitative Developer jobs include:

A map of the United States highlighting the number of Hedge Fund Quantitative Developer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Hedge Fund Quantitative Developer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Engineer - Joint Venture Consulting Firm - Up to $200,000 + Performance Bonus

Saragossa

Columbus, OH • On-site

$107K - $128K/yr

Other

Posted 4 days ago


Job description

You are joining one of the most credible new ventures in quantitative finance before it becomes a household name.


This company is what happens when a global leader in management consulting, part of an NYSE listed professional services firm, joins forces with a highly respected global macro hedge fund. This is not a startup built on a pitch deck. It is a joint venture backed by institutional weight on both the consulting and the buy side, but structured so that early technical hires have real autonomy and real ownership.


You come in on the ground floor. The decisions being made around you carry serious financial consequence, and you are close enough to see and shape them from day one.


Day to day, you are designing and building the data pipelines and platforms that feed advanced analytics and modeling for the firm's clients. You work closely with data scientists, consultants, and clients directly, making sure data is available, reliable, and high quality enough to support real decision-making. This is not a role where engineers sit behind a wall of project managers. You represent the technical function in the room.


You bring 3 to 6 years of experience as a data engineer, with a track record of designing and building data intensive applications and pipelines. You write clean, performant Python and SQL to handle large volumes of data, and you have exposure to some combination of distributed computing tools like Spark or Databricks, cloud platforms such as AWS, Azure, or GCP, orchestration tools like Airflow, and modern engineering practices including version control, CI/CD, and infrastructure as code.


You hold a degree in Computer Science or a quantitative field, ideally from a top ranked university, with a minimum 3.3 or equivalent.


This would be a great next move if you want to skip the slow lane and get close to where financial decisions actually get made.


Ready to build something that matters from the start?


Get in touch.


No up-to-date CV required.