At a Glance
- Tasks: Design and implement advanced mathematical models to solve complex business challenges.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Autonomous role with excellent career advancement potential.
- Why this job: Lead impactful projects and collaborate with top Data Science and Engineering talent.
- Qualifications: Experience in quantitative modelling and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Successful products are built on robust mathematics, accurate modelling, and continuous innovation. As a Senior Quantitative Modeller, you'll be a senior individual contributor responsible for designing, developing, and implementing advanced mathematical and statistical models that solve complex business challenges and support innovative product development. Operating with a high degree of autonomy, you'll own the full lifecycle of quantitative modelling projects—from initial concept through to production deployment—while working closely with engineering, data science, and business teams. You'll also provide technical guidance to junior colleagues and help shape best practices across the modelling function. Based in our London office, you'll join a highly skilled Business Intelligence team focused on delivering innovative, data-driven solutions that create real commercial value.
What you'll be doing
- Designing, developing and implementing advanced mathematical and statistical models
- Deriving new quantitative models and enhancing existing solutions to improve business performance
- Applying complex statistical distributions and Monte Carlo simulation techniques to solve challenging modelling problems
- Leading quantitative modelling initiatives from concept through to production deployment
- Backtesting, validating and refining models to ensure accuracy, robustness and real-world performance
- Taking ownership of projects, managing priorities, milestones and delivery with minimal supervision
- Collaborating with Data Science, Engineering and Product teams to ensure seamless implementation and alignment with technical best practices
- Identifying opportunities to apply advanced quantitative modelling techniques to solve business challenges and drive innovation
- Presenting complex quantitative findings and recommendations to both technical and non-technical stakeholders, including senior leadership
- Producing reports and visualisations using Python libraries and Tableau to communicate model performance and insights
- Providing technical guidance and mentoring to junior team members on modelling techniques and best practice
What we're looking for
- Proven experience as a Quantitative Analyst or Quantitative Modeller with a strong track record of delivering high-impact quantitative models
- Deep expertise in mathematical and statistical modelling techniques
- Strong understanding of probability, complex statistical distributions and Monte Carlo simulations
- Advanced Python skills for modelling, analysis and data manipulation
- Experience with model validation, backtesting and performance evaluation
- Strong understanding of the end-to-end model development and deployment lifecycle
- Experience working autonomously and successfully leading complex modelling projects
- Excellent communication and stakeholder management skills, with the ability to explain complex concepts clearly
- Exceptional analytical, problem-solving and critical thinking skills
- Strong attention to detail with a focus on accuracy and quality
- Experience using Python visualisation libraries (such as Matplotlib, Plotly or Seaborn) together with reporting tools such as Tableau
Desirable Experience
- Machine Learning and predictive modelling experience
- Experience working with large datasets and technologies such as PySpark or Hive
- Familiarity with version control systems such as Git
- Understanding of MLOps principles and production deployment practices
- Exposure to containerisation technologies such as Docker
- Experience with Kubernetes or workflow orchestration tools
Why Join Us?
This is an opportunity to work on complex quantitative modelling challenges within a collaborative and highly technical environment. You'll have the autonomy to lead your own projects, influence the development of innovative solutions, and work alongside experienced Data Science and Engineering professionals who are passionate about delivering high-quality analytical products. If you enjoy solving complex mathematical problems, building robust models, and seeing your work make a real commercial impact, we'd love to hear from you.
Interested? Apply today with an up-to-date copy of your CV.
Contact Details:
Humankind Global Recruitment Recruitment Team
