preferably within insurance or a related sector. Proficiency in analytical tools such as SQL, Python, or similar. Experience with Accura8/Emblem/Radar/Earnix An understanding of statistical modeling and forecasting techniques. Excellent communication skills to present findings and influence stakeholders. A commercial mindset with a customer-focused approach to problem-solving. HOW TO APPLY Please apply More ❯
Scala Developer - London The company This is an opportunity for to join one of London’s most exciting FinTech’s! They are a rapidly growing company that are developing statistical models and analytic tools for sports. There isn’t a better time to join their world class team of engineers. They are looking for bright and talented engineers from More ❯
Scala Developer - London The company This is an opportunity for to join one of London’s most exciting FinTech’s! They are a rapidly growing company that are developing statistical models and analytic tools for sports. There isn’t a better time to join their world class team of engineers. They are looking for bright and talented engineers from More ❯
PhD degree in Computer Science, Electronic Engineering or a related field is preferred. 2. Familiar with signal processing and speech/audio processing fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on related projects. 3. Proficient in at least one programming language, familiar with basic data structures and algorithms. 4. Experience of More ❯
PhD degree in Computer Science, Electronic Engineering or a related field is preferred. 2. Familiar with signal processing and speech/audio processing fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on related projects. 3. Proficient in at least one programming language, familiar with basic data structures and algorithms. 4. Experience of More ❯
best practices Docker, terraform, CI/CD Experience working with stakeholders and customers throughout the product life cycle Experience with financial data (equity securities)Experience with traditional ML/statistical models Experience with transformer LLMs You'll have the opportunity to experience a dynamic role where no two days are the same. You will be working with a diverse More ❯
based function within the Audio Division , acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale. 🧩 What you’ll be doing: Build and lead a team of data scientists, analysts, and BI engineers Own the strategy for how data … functional teams Translate complex data into actionable insight for both technical and non-technical audiences 🔍 Key skills & experience: Strong expertise in SQL and Python Proven experience building and deploying statistical and predictive models Experience leading high-performing data science or advanced analytics teams Track record of influencing strategy through data Engaging, collaborative, and able to lead with clarity and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Firinne Solutions
background Comfortable working in a Linux environment. Desirable Skills History of performance testing and benchmarking using tools such as perf and valgrind Comfortable exploring compiler assembly output Knowledge of statisticalmodelling and probability theory Interested in sports Familiarity with sport betting Why Join Be part of a leading company in the gaming and gambling industry. Work on cutting More ❯
background Comfortable working in a Linux environment. Desirable Skills History of performance testing and benchmarking using tools such as perf and valgrind Comfortable exploring compiler assembly output Knowledge of statisticalmodelling and probability theory Interested in sports Familiarity with sport betting Why Join Be part of a leading company in the gaming and gambling industry. Work on cutting More ❯
rich, actionable insights. Learn and own the end-to-end research process, from survey design to cleaning & structuring raw data, to final report delivery. Analyse large data sets, applying statistical techniques and predictive modelling to uncover patterns in consumer behaviour. Transform complex data into compelling stories that drive clear business recommendations. Build & deliver client-ready reports and presentations More ❯
have - Degreelevel education in a subject along the lines of science, maths, economicsor engineering - Aworking knowledge of UK power markets and experience and understanding ofpower generation units - Solidexperience with statistical and fundamental modelling using IT techniquessuch as; SQL, Python, Excel, Business Intelligence tools (Power BI); andbe able to apply a pragmatic approach to large data structures. - Agood understanding 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 ❯
a quantitative research role, ideally in macro or multi-asset systematic trading. Technical Skills: Strong programming skills in Python required (C Java a plus); experience with backtesting frameworks and statistical modeling. Markets Knowledge: Exposure to macro asset classes (e.g., FX, fixed income, equity indices, commodities) and experience working with futures or swaps preferred. Opportunities available in Hong Kong, Singapore More ❯
a quantitative research role, ideally in macro or multi-asset systematic trading. Technical Skills: Strong programming skills in Python required (C Java a plus); experience with backtesting frameworks and statistical modeling. Markets Knowledge: Exposure to macro asset classes (e.g., FX, fixed income, equity indices, commodities) and experience working with futures or swaps preferred. Opportunities available in Hong Kong, Singapore More ❯
a quantitative research role, ideally in macro or multi-asset systematic trading. Technical Skills: Strong programming skills in Python required (C Java a plus); experience with backtesting frameworks and statistical modeling. Markets Knowledge: Exposure to macro asset classes (e.g., FX, fixed income, equity indices, commodities) and experience working with futures or swaps preferred. Opportunities available in Hong Kong, Singapore More ❯
Business, Geography) Good inter-personal skills and the ability to communicate technical results to non-technical individuals Experience in presenting reports and conclusions The ability to distil conclusions from statistical outputs Good understanding of Excel Good understanding of Microsoft PowerPoint Knowledge of, and interest in, the retail sector Ideally you will also have: Exposure to and/or appreciation … of GIS software and its applications Understanding of statisticalmodelling techniques Knowledge of BI dashboard tools such as PowerBI or Tableau We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual More ❯
Cambridge, Cambridgeshire, East Anglia, United Kingdom
Wave Photonics Ltd
tensor processors, on-chip LiDAR, quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statisticalmodelling and optimisation techniques. Founded in 2021, we have backing from great investors in Silicon Valley, the UK, and the EU, and are contributing to multiple projects funded More ❯