BMLL

Founded in 2014 from the machine learning laboratories of the University of Cambridge, we are a financial services company. We provide harmonized Level 3, 2, and 1 historical market data and analytics. Our data covers global equities, ETFs, global futures, and US equity options from over 100 trading venues. The data is available on a T+1 basis with nanosecond timestamp granularity, consistent across asset classes.

We serve clients including banks, brokers, asset managers, hedge funds, exchanges, academics, and regulators. Clients use our data and analytics to understand market behavior, accelerate research, optimize strategies, generate alpha, back-test and launch new products, drive increased flow, optimize TCA workflows, and enhance algorithmic performance.

Our products include:

• BMLL Datafeed: Delivers Level 3, 2, and 1 historical market datasets and analytics via API, SFTP, S3, Azure Storage, and Snowflake. Datasets include OPRA US Equity Options Tick history, Level 1 Quotes, Level 2 Quotes (Market-by-Price), Level 3 (Market-by-Order), BMLL Trades Plus, Trades, Daily Classified Trades, and Millisecond CBBO.
• BMLL Data Lab: A scalable Python research sandbox, delivered as a JupyterLab environment. It provides direct access to a harmonized data warehouse in a cloud-based setup.
• BMLL Vantage: A no-code visual application that provides over 500 metrics derived from Level 3 Data, along with visualization and charting tools.

We use technologies like AWS, Python, PostgreSQL, SQL, Snowflake, and C++. We are ISO27k certified and are a Vendor of Record for our historical data products. In October 2025, BMLL Technologies was acquired by Nordic Capital, with Optiver as a minority shareholder.

Our mission is to help clients unlock the predictive power of pricing data. We provide insights that help them understand how markets behave and make informed decisions. We cultivate an inclusive and collaborative culture. We emphasize teamwork and give employees a stake in our future. We are committed to equality and diversity, and we promote a data-driven approach.

We have 51-200 employees. Our culture is inclusive, collaborative, and ambitious. We value teamwork and a data-driven approach. We work in a fast-paced, agile environment. Our Client Facing Data Scientists, who are former quants and researchers, support our clients.

London-based roles typically involve a hybrid work model, with two days required in the office each week. Some US roles offer remote work with occasional in-person team days. Our London offices are in Old Street. We’ve been recognized as a leading workplace for sales and tech roles, and our CEO received the Leader of the Year award. Financial News has also named us Data Provider of the Year multiple times.

• Competitive salary/compensation
• Discretionary bonus
• Pension scheme
• Private medical insurance
• Life insurance
• 25 days holiday/PTO plus bank holidays/selected public holidays
• Ability to work remotely abroad for up to 40 business days each year
• Hybrid working model, typically requiring 2 days in the London office per week
• A yearly well-being physical activity budget
• Continuous learning through funded training and challenging projects
• Weekly team lunches (when office-based)
• Free fruit, snacks, and drinks (when office-based)
• Regular team socials
• Cycle to Work Scheme
• 401(k) (for US-based roles)