ll Do Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering … on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation and causal inference. Strong MLOps knowledge and experience deploying models into production environments using More ❯
ll Do Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and machine learning models to enhance customer value and business outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering … on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation and causal inference. Strong MLOps knowledge and experience deploying models into production environments using More ❯
experience in quant/systematic trading firm Expertise in alpha research, portfolio construction, risk management, optimisatizion and execution A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques A MSc/PhD from a top-tier university Strong programming skills in Python or C++ More ❯
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯
collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities … maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay More ❯
collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities … maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute to ethical, privacy-aware, and user-centric data products Stay More ❯
that interact directly with exchanges, including automated RFQ pricing for options. Quantitative Problem-Solving: Work closely with traders to develop solutions for portfolio optimisation, large-scale data analysis, and statistical modelling. Market Structure & Trading Expertise: Apply your knowledge of market microstructure, volatility trading, options pricing, hedging, and Delta1 products (futures, ETFs, stocks, swaps). Ownership & Collaboration: Engage directly with … for building robust, high-performance trading systems. Low Latency Expertise - A strong understanding of optimizing for speed in trading environments. Quantitative Background - Hands-on experience with large data analysis, statistical techniques, and trading models. Trader-Facing Mindset - Ability to engage with the desk, understand business needs, and take ownership of algo development. Why Apply?: Work on greenfield algorithmic trading More ❯
frequency and severity across multiple accounts, presenting your findings to key stakeholders. Recalibrate pricing models based on changes in expected performance, ensuring profitability and competitiveness through collaborative discussions. Utilise statistical techniques to analyse historical data and risk factors, working with teams to adjust or create new pricing models. Apply actuarial and pricing judgment , actively supporting low data areas and … pricing decisions to a wide audience. Able to think outside the box and develop innovative solutions, eagerly sharing ideas and collaborating to meet business and profitability goals. Proficient in statistical modeling techniques and pricing software/tools, ready to leverage your expertise in a team setting. Able to work in low data areas , make recommendations, and communicate uncertainty effectively More ❯
