Senior Quantitative Researcher

Pinely

Amsterdam

On-site

EUR 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

High base salary & social benefits
Generous bonus structure & profit-shar
Cutting-edge hardware & software
Trade on dozens of international-excha
Flexible workflow
Tuition reimbursement & conference

Job summary

Pinely in Amsterdam is seeking a highly skilled Senior Quantitative Researcher to join our team. You will lead and mentor researchers, drive research directions, and own end-to-end ML-driven strategies for high-frequency trading across multiple exchanges.

You will design features and models to predict market behavior on sub-second to minute timeframes, develop scalable ML pipelines, and collaborate with cross-functional teams to push bold ideas into production.

Qualifications

  • 5+ years of experience in HFT companies.
  • Extensive expertise in using ML models for HFT strategies.
  • Hands-on experience with ML pipelines across multiple exchanges.
  • Experience building non-trivial statistical arbitrage strategies across instruments.
  • Willingness to deepen knowledge of high-frequency trading across many exchanges.
  • Experience working on entire data-to-production pipeline for trading strategies.
  • Proficient in at least one programming language (Python preferred).
  • Confident, resilient, highly motivated and proactive.
  • Ability to work with colleagues from diverse backgrounds.

Responsibilities

  • Using ML methods to develop and deploy statistical arbitrage strategies.
  • Analyzing market data to explore new trading ideas.
  • Designing features and models to predict behavior of hundreds to thousands of securities over 10-second to 10-minute timeframes.
  • Working with ML pipelines to support strategy development.
  • Driving optimization and advancement of existing models.
  • Communicating with internal teams.
  • Mentoring and potentially leading team members.

Skills

Python
Machine learning
HFT
Data analysis
Leadership
Cross-functional collaboration

Tools

ML libraries (TensorFlow, PyTorch)

Job description

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.

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