BMLL Tech Stack

Historical market data and analytics platform for capital markets

Financial Services London 51–200 employees Founded 2014 Privately Held

BMLL operates a data and analytics infrastructure for institutional capital markets users — banks, brokers, asset managers, hedge funds, exchanges, and regulators. The tech stack (C++, Python, Snowflake, Databricks, AWS) and active project list reveal a company in transition: they're migrating Python data products to C++ while scaling derivatives coverage and building next-generation analytics products. Minimal hiring velocity and a senior-heavy org (7 of 8 open roles at senior+ level) suggests execution-focused consolidation rather than expansion.

Tech Stack 11 technologies

Core StackC++ AWS Python Snowflake Databricks Tableau Power BI Docker Linux SQL CI/CD

ReplacingPython

What BMLL Is Building

◆Challenges

Improving performance and reliability of data pipelines
Managing large datasets
Migrating python data products to c++
Increasing revenue
Expanding derivatives coverage
Normalizing derivatives data
Scalable derivatives pipelines
Improving data processing reliability
Evolving data and analytics platform
Scaling compute for terabytes of data

▲Active Projects

Improving data pipeline performance and reliability
Next generation analytics data products
Migration of python data products to c++
Pipeline development for hedge fund clients
Derivatives data content strategy
Normalization and documentation for derivatives markets
Scalable derivatives data processing pipelines
Building data parsers for market data
Developing new data generation processes
Data lab

Hiring Activity

Minimal8 roles · 0 in 30d

Department

Engineering

Product

Sales

Seniority

Senior

Director

Notable leadership hires: Sales Director

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About BMLL

BMLL provides historical Level 3, 2, and 1 market data and analytics across global equities, ETFs, futures, and US equity options. The platform delivers granular, tick-level order book data and quantitative analytics to help institutional clients understand market behavior, accelerate research, and optimize trading strategies. The company was founded in 2014 and is based in London, with hiring across the UK and US. Operating at 51–200 employees, BMLL serves a deep vertical (institutional quant finance and research) with specialized data content and processing infrastructure.

HeadquartersLondon

Company Size51–200 employees

Founded2014

Hiring MarketsUnited Kingdom, United States

Frequently Asked Questions

What tech stack does BMLL use?

C++, Python, AWS, Snowflake, Databricks, SQL, Tableau, Power BI, Docker, Linux, and CI/CD pipelines. The company is actively migrating Python data products to C++ for performance.

What markets does BMLL cover?

Global equities, ETFs, global futures, and US equity options. Active projects indicate expansion into derivatives data (normalization, processing pipelines, and content strategy).