About BMLL:
BMLL is the leading independent provider of harmonised Level 3, 2 and 1 historical data and analytics across global equities, ETFs, futures and US equity options. We provide market participants with immediate access to granular T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies, and better understand market behaviour.
BMLL was acquired in 2025 by Nordic Capital, alongside minority shareholder Optiver, marking a joint commitment to accelerate the company’s next phase of growth.
We offer an inclusive and collaborative culture, a hybrid working environment that includes regular days in our London office, weekly team lunches, and a variety of out-of-hours social activities.
For more information, visit our website or follow us on X (@bmlltech) and LinkedIn @BMLL.
About the role:
We are seeking an experienced Quantitative Analyst to join our dynamic product team, reporting to the Head of Data Science US. In this role, you will leverage our product suite to drive marketing initiatives and perform in-depth analysis, while also working closely with our clients to gather feedback and help them apply our solutions to solve their unique challenges.
You will collaborate with clients and key stakeholders to understand their business needs and translate them into actionable, data-driven solutions. This includes maintaining clear, comprehensive documentation for your code and methodologies, ensuring transparency and reproducibility. You will also communicate your findings effectively to both technical and non-technical audiences.
We are looking for someone who is highly detail-oriented, able to manage complex projects, and thrive under tight deadlines. A self-starter with a passion for quantitative finance, you’ll be driven to continuously improve the solutions for our clients. As a collaborative team player, you will thrive in a fast-paced, ever-evolving environment, helping shape the future of our product suite.
What Makes This Job Special:
As a Quantitative analyst, you will:
Essential:
Desirable:
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