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Research Analyst: ML, A/B Testing & Trading Optimization

pinely โ€ข Amsterdam, North Holland, Netherlands

onsitefull-time
Posted Nov 7, 2026Apply by Dec 7, 2026

**Role & seniority: ** Research Analyst (advanced analytics/ML), likely mid-to-senior based on requirements (no explicit level stated)

**Stack/tools: ** Python; pandas, NumPy; PyTorch; statistical testing; A/B experimentation; ML system design; analytical dashboards; dynamic parametric simulation models

**Top 3 responsibilities: **

  • Develop and implement performance metrics; analyze KPIs and strategy components

  • Identify bottlenecks and opportunities (incl. market share growth); detect anomalies and performance issues

  • Run and analyze A/B tests; optimize trading constraints and evaluate changes; support simulation/model credibility

  • Must-have skills:

    • Strong Python (pandas, NumPy, PyTorch)

    • Probability theory and mathematical statistics

    • Data analysis + ML experience

    • Statistical testing and A/B experiment design

    • Ability to build decision-making using probabilistic metrics; optimize metric sensitivity/power

  • Nice-to-haves:

    • Experience with ML system design in production settings

    • Experience designing/using analytical dashboards and simulation/dynamic parametric models

  • Location & work type: Not specified in provided text; flexible workflow mentioned (no formalism/bureaucracy), but remote/hybrid/on-site not stated

Full Description

We are looking for a passionate Research Analyst who will play a crucial role in optimizing our complex production system through advanced analytics and machine learning. You will work on challenging problems in a dynamic environment, leveraging your expertise in statistical analysis and uplift modeling.

Responsibilities

Develop and implement performance metrics;

Identify bottlenecks and opportunities for market share growth;

Optimize trading constraints and evaluate changes;

Conduct A/B tests and analyze data;

Decompose strategies into measurable components;

Detect anomalies and analyze performance issues;

Accelerate decision-making processes by designing analytical dashboards;

Improve simulation credibility by training dynamic parametric models.

Requirements

Strong Python skills with experience in pandas, NumPy, and PyTorch;

Solid understanding of probability theory and mathematical statistics;

Proven experience in data analysis and machine learning;

Expertise in statistical testing and A/B experiment design;

Familiarity with ML system design;

Passion for investigating complex open-ended questions through data analysis;

Desire to develop decision-making skills based on probabilistic metrics;

Enthusiasm for optimizing metric sensitivity and power.

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 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.

A/B TestingAnalytical DashboardsData AnalysisDynamic Parametric ModelingExperiment DesignMachine LearningMachine Learning System DesignMathematical StatisticsNumPyPandasPerformance MetricsProbability TheoryPythonPyTorchStatistical TestingUplift Modeling

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