Senior Quantitative Analyst (Derivatives)

Reposted 21 Days Ago
Be an Early Applicant
Chicago, IL
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
As a Senior Quantitative Analyst, you will conduct in-depth analyses, drive product solutions, support marketing initiatives, and collaborate with clients to meet business needs.
Summary Generated by Built In

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:

  • 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.

As a Quantitative analyst, you will: 

  • Drive Impact: Utilize the BMLL product suite to support marketing and sales, directly contributing to business growth and helping sell the BMLL product suite.
  • Collaborate & Innovate: Work closely 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: Assist in technical prototyping for external partners and clients, utilizing a petabyte-scale data lake and cutting-edge data science tools.
  • Contribute to Product Development: Support the product team in the development and management of the product roadmap, generating ideas, and actively participating in the product development cycle.

Requirements

Essential:

  • 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: Mathematics, Statistics, Quantitative Finance, or related field.
  • Highly proficient in Python, with a solid understanding of Python libraries for data manipulation, statistical modeling and analysis of large datasets.
  • Strong familiarity in other financial instruments (e.g. US equity options, cash equities, fixed income)
  • Willingness to work in a fast paced environment, and work to 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

Desirable:

  • 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 OOP languages
  • Experience with Snowflake/ SQL or other database management systems
  • Experience with Cloud Platforms (AWS, GCP, Azure)

Benefits
  • 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

Top Skills

AWS
Azure
GCP
Python
Snowflake
SQL
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The Company
HQ: London
88 Employees
Year Founded: 2014

What We Do

BMLL is an award-winning data and analytics company operating at the cutting edge of capital markets. Our mission is to unlock the predictive power of pricing data and offer our clients the insight they need to understand how markets behave and make more informed decisions. A cloud-native managed service with unlimited compute power, we deliver AI/ML driven analytics to our clients' applications, either for internal use or to enhance their client-facing products. We solve our clients' analytics needs across alpha generation, model back testing, trading & data efficiency management, risk & compliance measurement, benchmarking & data sales. We serve capital markets clients from banks and brokers to hedge funds and the buy-side firms, to exchanges and trading venues as well as data redistributors and academic institutions. Delivered via 3 cost effective and consumable mechanisms directly into your existing workflow

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