Senior Quantitative Analyst; Derivatives

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. In 2025, BMLL was acquired 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.

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, and communicating your findings effectively to both technical and non‑technical audiences. You are highly detail‑oriented, able to manage complex projects, and thrive under tight deadlines. A self‑starter with a passion for quantitative finance, you will continuously improve the solutions for our clients and shape the future of our product suite.

• Direct Impact:
  Your work will have a tangible effect on the business, with a blend of data science, sales, and marketing.
• Advanced Resources:
  Access to a petabyte‑scale data lake and an award‑winning data science environment to drive your analysis.
• High‑Impact Projects:
  Contribute to high‑impact initiatives, working with a diverse range of clients.
• Innovation:
  Develop and implement cutting‑edge solutions in a fast‑paced, ever‑evolving industry.
• Continuous Growth:
  Ongoing learning opportunities with exposure to the latest advancements in financial technology.
• Attractive Compensation:
  Competitive salary, bonus structure, and comprehensive benefits package.

• Utilise the BMLL product suite to support marketing and sales, directly contributing to business growth and helping sell the BMLL product suite.
• Collaborate & innovated with the go‑to‑market team to promote the product, provide customer support, and gather feedback that shapes the evolution of the product.
• Leverage advanced resources to assist in technical prototyping for external partners and clients, using a petabyte‑scale data lake and cutting‑edge data science tools.
• Support the product team in the development and management of the product roadmap, generating ideas, and actively participating in the product development cycle.

• A minimum of 5 years in quantitative analysis, with a focus on exchange‑traded derivatives.
• Strong quantitative skills; advanced graduate degree (Master’s or PhD) in a quantitative field such as mathematics, statistics, quantitative finance, or related field.
• Highly proficient in Python and a solid understanding of Python libraries for data manipulation, statistical modelling, and large‑dataset analysis.
• Strong familiarity with other financial instruments (e.g. US equity options, cash equities, fixed income).
• Willingness to work in a fast‑paced environment and meet tight deadlines.
• Excellent analytical and problem‑solving skills, with the ability to think critically and strategically under pressure.
• Excellent teamwork and ability to work in a multidisciplinary team.
• Strong presentation and both verbal and written communication skills.

• Understanding of typical market data feed handlers used in futures trading and full‑depth order book data (e.g., CME Globex, Eurex EOBI, ICE Impact).
• Experience with distributed computing, GPU acceleration or other high‑performance programming concepts.
• Experience with other object‑oriented programming languages.
• Experience with Snowflake/SQL or other database management systems.
• Experience with cloud platforms (AWS, GCP, Azure).

• 25 days PTO & selected public holidays.
• Remote working, with in‑person team days in NYC as required.
• Private medical insurance.
• 401(k).
• Work‑abroad option.
• Annual physical activity & well‑being budget.
• Continuous learning through funded training and challenging projects.
• Highly collaborative culture.

Chicago, IL

$70,000.00 – $ per year