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Pinely

Middle Quantitative Researcher

  • Seen live on Pinely's site today
  • Mid level
Pay
Not stated
Location
Amsterdam, North Holland, Netherlands
Open for
10+ days
First seen
Oct 25, 2026
Apply on Pinely's site (opens in a new tab)

Posting record

No flags

Open 10+ days

The posting's record, oldest first
  1. Pinely's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Pinely, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

We are looking for a Middle Quantitative Researcher for our office in Amsterdam who will join one of our trading teams to analyze the global markets and create and optimize profitable trading strategies.

Responsibilities

  • Developing and improving trading algorithms using statistical models and machine learning techniques;
  • Analyzing high-frequency trading strategies and market microstructure to identify new trading opportunities;
  • Collaborating with developers and other researchers to implement and optimize trading strategies;
  • Contributing to the improvement of existing trading strategies and assisting senior researchers in quantitative strategy design.

Requirements

  • Degree in math, physics, computer science or another quantitative field;
  • Track record of solving analytical problems;
  • Outstanding performance in mathematical competitions or competitive programming contests would be a huge advantage (but not necessary);
  • Experience in implementing machine learning algorithms.

What we offer

  • High base salary and social benefits;
  • Generous bonus structure. We are very flexible in discussing salary and conditions of employment;
  • Cutting-edge hardware and software in production as well as high technical expertise of the company which allows implementation of bold ideas and boosting great results. Ownership over initiatives that directly solve business problems;
  • Flexible workflow (lack of formalism and bureaucracy, no pressure and over-management) and working schedule;
  • Tuition reimbursement, conference and training sponsorship.

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