What is a Data Scientist at Flow?
At Flow, a leading global financial technology and proprietary trading firm, the Data Scientist role—often aligned with or titled as Quantitative Researcher—is at the absolute core of the business. Unlike traditional tech companies where data science might focus on user growth or product analytics, at Flow, your work directly impacts real-time pricing, risk management, and market-making strategies. You will design, build, and optimize the mathematical algorithms that provide liquidity to financial markets globally, specializing in complex instruments like Exchange Traded Funds (ETFs).
This role requires a unique blend of high-level statistical modeling, rapid analytical intuition, and software engineering principles. You will collaborate directly with traders and quantitative developers to analyze massive datasets of market microstructure, identify pricing anomalies, and deploy automated trading strategies. The feedback loop is incredibly short; models you design can be actively trading and managing risk within days, or even hours, making this one of the most dynamic and high-impact environments for data professionals.
To succeed in this position, you must possess a deep passion for financial markets, a rigorous academic mindset, and the ability to perform under pressure. The team thrives on intellectual curiosity and mathematical precision. If you are excited by the prospect of solving highly complex, competitive, and fast-paced quantitative problems where the markets grade your work in real time, this role offers an unparalleled professional challenge.
