Posting record
Open 10+ days
- Pinely's site dates the posting
- Ghostless first sees this listing
- 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?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 5+ years of experience
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 currently seeking a highly skilled Senior Quantitative Researcher to join our team in our Amsterdam office. This role will be instrumental in exploring new research directions and will involve leading and managing people.
Responsibilities
- Using ML methods to develop and deploy statistical arbitrage strategies;
- Exploring new trading ideas by analyzing market data;
- Designing features and models to predict the behavior of hundreds or thousands of securities over 10-second to 10-minute timeframes with different underlyings;
- Working with ML pipelines to help the strategy development process;
- Driving consistent optimization and advancement of existing models;
- Communicating with internal teams;
- Mentoring and (potentially) leading team members.
Requirements
- 5+ years of relevant experience in HFT companies;
- Extensive expertise in using ML models for HFT strategies;
- Know-how and hands-on experience with ML pipelines running on multiple exchanges, separately or together;
- Experience in building non-trivial statistical arbitrage strategies profiting from differences in prices between two or more instruments;
- Willingness to acquire deeper knowledge of high-frequency trading and apply it to trading on multiple (tens of) exchanges;
- Knowing how to work on an entire pipeline: from sampling data and creating features to launching strategies in production;
- Proficiency in at least one programming language (Python is preferred);
- Being a confident, resilient, highly motivated, and proactive person;
- Being capable of working with colleagues with different backgrounds and willing to learn new things.
Would be great if you had this
- Experience with mentoring, people management, and leading interns or a team of researchers.
What we offer
- High base salary and social benefits;
- Generous bonus structure and profit-sharing scheme. 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 boosts great results. Ownership over initiatives that directly solve business problems;
- Ability to trade on dozens of international exchanges;
- Flexible workflow (lack of formalism and bureaucracy, no pressure and over-management) and working schedule;
- Tuition reimbursement, conference and training sponsorship.
Something wrong with this posting?