Senior Quantitative Analyst

BMLL

Senior Quantitative Analyst leveraging BMLL’s product suite for marketing initiatives and collaborating with clients to deliver solutions. Requires strong quantitative analysis experience and proficiency in Python.

Posted 6/9/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-Learn

About the role

Key responsibilities & impact

Leverage the BMLL product suite to drive marketing initiatives and perform in-depth analysis
Work closely with clients to gather feedback and help them apply our solutions to solve their unique challenges
Collaborate with clients and key stakeholders to understand their business needs and translate them into actionable, data-driven solutions
Maintain clear, comprehensive documentation for your code and methodologies
Communicate your findings effectively to both technical and non-technical audiences
Manage complex projects and thrive under tight deadlines

Requirements

What you’ll need

A minimum of 5 years of quantitative analysis experience, with a minimum of a MSc in a quantitative discipline (such as STEM subject or Economics)
Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation, statistical modeling.
A minimum of 3 years experience working with Futures/Options order book market data. With strong familiarity in other financial instruments (e.g. other derivatives, equities, fixed income)
Willingness to work in a fast paced environment, and work to tight deadlines.
Experience working with large datasets.
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

Benefits

Comp & perks

Competitive salary
25 days holiday plus bank holidays
Discretionary Bonus
Pension Scheme
Private Medical Insurance
Work remotely abroad for up to 40 business days each year
Life Insurance
Childcare Nursery Scheme
Combination of remote and London-based office working, with 2 days in the office per week.
A yearly Well-being Physical Activity budget
Continuous learning through funded training and challenging projects
Collaborative culture
Weekly team lunches
Free Fruit, snacks, and drinks provided throughout the day (When office-based)
Regular Team Socials
Cycle to Work Scheme

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative analysisPythonNumPypandasPolarsscikit-learndata manipulationstatistical modelingworking with large datasetsFutures/Options order book market data

Soft Skills

analytical skillsproblem-solving skillscritical thinkingstrategic thinkingteamworkcommunication skillspresentation skillsability to work under pressureability to meet tight deadlinescollaboration

Certifications

MSc in quantitative discipline