Junior Quantitative Analyst Internship - Summer 26 - UNITED STATES

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.

For more information, please visit our website, www.bmlltech.com or visit our Twitter, @bmlltech or LinkedIn, @BMLL.

About the Role

We are looking for a highly motivated Junior Quantitative Analyst intern to join our product team. The Junior Quantitative Analyst intern will utilise our product to develop marketing and analysis, as well as working with our customers to gather feedback and help them use the product suit.You will have the opportunity to work on exciting products, collaborate with industry experts, and contribute to the success of our clients and the company as a whole. 

What makes this job special: 

• This is a mixture of data science, sales, and marketing. All your work will have a direct impact on the business. 
• You will have access to a petabyte scale data lake and an award-winning data science environment to analyse and work with the data. 

As a Junior Quantitative Analyst Intern, you will: 

• Utilise the BMLL product suite to support marketing and sales to help sell the BMLL product suite. 
• Work closely with the go-to-market team to promote the product, support our customers and gather feedback to help shape product requirements. 
• Help with technical prototyping for external partners and clients. 
• Support the product team in the development and management of the product roadmap, idea generation and product development cycle. 

Essential: 

• Experience of python for the purposes of data science, and familiarity with data science tools (Jupyter, pandas, Plotly) 
• Willingness to work in a fast-paced environment, with an ability to do quick analysis at tight deadlines
• Excelled teamwork and ability to work in multidisciplinary team 
• Basic knowledge of financial markets and trading concepts 
• Ability to work effectively, both independently and as part of a team
• Strong presentation and communication skills 

Desirable: 

• Experience with SQL scripting and querying
• Experience working with Polars
• Experience working with PySpark
• Knowledge and interest in statistics and machine learning and their applications to finance

Internship Key Points:

• Compensation: This is a paid internship.
• Eligibility: Candidates must be eligible to work in the US.
• Duration: The internship will be a maximum of 12 weeks over the summer holidays. 
• Application Deadline: Applications close on 16th January 2026 unless total number of applications is reached whichever is first.
• Next Steps: Successful applicants will be contacted between 26th - 30th January 2026 to schedule a first-round interview.

• Interview Process: 

1. First round interview (30mins) 
2. Take home test 
3. Team interview (1hr) 
4. Final interview with CPO (30mins) 

We look forward to receiving your application!