Research Analyst: ML, A/B Testing & Trading Optimization
Key Skills
Job 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.
Core Responsibilities
Develop performance metrics, identify bottlenecks and market-share opportunities, optimize trading constraints, and evaluate changes through A/B testing and data analysis. Decompose strategies into measurable components, investigate anomalies and performance issues, build analytical dashboards, and train dynamic parametric models to improve simulation credibility.
Requirements
Requires strong Python skills, including experience with pandas, NumPy, and PyTorch, along with a solid foundation in probability theory and mathematical statistics. Candidates should have proven data analysis and machine learning experience, expertise in statistical testing and A/B experiment design, familiarity with ML system design, and an interest in using probabilistic metrics to investigate complex problems and improve metric sensitivity and power.
Benefits
- Social Benefits
- Bonus Structure
- Flexible Work Schedule
- Tuition Reimbursement
- Conference Sponsorship
- Training Sponsorship
About pinely
Industry: Financial Services
Company size: 51-200 employees
We’re Pinely, an algorithmic trading firm, privately owned and funded. As a proprietary trading firm, we’re not using capital from clients or external investors to trade. That makes all of Pinely ours: our ideas, our money, our technology. All built and thought out by our people. We trade on the world’s financial markets using our in-house developed research and technology. Most of our strategies are based on HFT (High Frequency Trading) algorithms and depend on our ultra-low latency networks to operate optimally. Active in various financial markets and products, the Pinely family consists of several firms and offices in Singapore, Cyprus and the Netherlands, sharing the same base technology. Every day, we put our algorithmic research and technology to the test. Every day, we face the world’s financial markets with our money on the line. And every day, we come out on top. That’s because we’re driven by the best researchers and powered by the best technologists. But most of all, it’s because we love what we do!