degree in Actuarial Science, Mathematics, Statistics, or a related field. Master's degree or actuarial credentials (FCAS, ACAS, or equivalent) preferred Experience of actuarial modelling in pricing roles within the insurance industry Deep understanding of actuarial principles, statisticalmodelling techniques, and insurance pricing methodologies Advanced analytical skills … with proficiency in statistical software (e.g., R, Python, SAS) and data visualisation tools Strong business acumen with the ability to translate actuarial analysis into actionable pricing strategies Excellent communication, presentation, and stakeholder management skills Proven leadership experience, with the ability to inspire and motivate a team to achieve results … Knowledge of regulatory requirements and compliance considerations in insurance pricing Experience with machine learning and predictive modelling techniques is a plus more »
to learn Python For engineering, experience in a DevOps role, ideally in a data science environment Proven interest and technical expertise in data science, statisticalmodelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »
stakeholders. Develop your own skills and capabilities. Experience: Strong RADAR Skills. Possess an understanding of the full insurance pricing process and a range of statistical techniques for modelling. Proven history of mathematical research (either in academia or in industry) Experience in SQL, Python or is desirable. Python is preferred more »
Sheffield, England, United Kingdom Hybrid / WFH Options
Twinkl Educational Publishing
for seamless user experiences Enhancing search engine logic through machine learning for an optimised search experience Implementing collaborative-filtering approaches for personalised resource recommendations Statisticalmodelling and forecasting to meet user needs effectively Developing real-time data pipelines to address gaps in our product offering Optimising customer experiences more »
as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value more »
are essential. Exposure to Data Analytics, AI, and ML would be very beneficial. The role: Improving budgeting and forecasting systems through trend analysis and statistical modeling. Leveraging methods such as Linear Models, Random Forest etc Interrogating large data sets and applying feature analysis to identify key areas to maximise … their own insights from these views/repositories Skills/experience: Strong knowledge of Python Exposure to Tensorflow/Keras Used Trend Anaylsis and StatisticalModelling Data visualisation experience (Tableau) MySQL experience preferred (or similar Relational Database) Strong attention to detail, and analysis skills. AI/MI l more »
Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statisticalModelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »
Worthing, West Sussex, United Kingdom Hybrid / WFH Options
Arc IT Recruitment
in the following: Qualified or nearly qualified actuary with relevant experience in the insurance industry. Strong analytical and problem-solving skills, with proficiency in statisticalmodelling and data analysis tools (eg, SAS, R, Python). Solid understanding of insurance principles and pricing techniques. Excellent communication and interpersonal skills more »
on smashing goals and loving what they do! If you're a Senior/Lead Data Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. more »
Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in Python, R, or statistical modeling tools. Why Join Us: Four-day work week with no reduction in salary. Flexible hours and the option to work remotely multiple days more »
Generalized Linear Models (Linear regression, ANOVA, ANCOVA, Logistic regression and other relevant models such as experimental design) and Mixed Effects Models Strong knowledge of statisticalmodelling techniques Knowledge of quantitative analytics, testing models, technical documentation 2 years experience working at a sell side firm Strong coding skills in … python. Responsibilities: Perform financial, liquidity, cost and performance modelling Conduct in depth quant research around market microstructure Optimise the team's algo execution and trading efficiency Talking to clients and external partners on a regular basis more »
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
In Technology Group Limited
AI Data Modelling Engineer - £45K - Sheffield (Hybrid) A Sheffield based, forward thinking, and award winning business are looking to add to their existing team with the acquisition of a new AI Data Modelling Engineer. A role that will see the successful candidate developing models with python to test … right to work in the UK and no future sponsorship requirements. Responsibilities: Using Python to simulate and model performance of electric power systems Conduct statisticalmodelling to identify energy trends, support energy planning and forecast utility consumption and budgets Primary and secondary data collection, as well as compiling more »
identify, measure, and mitigate market risk exposures associated with the Solutions business. 3. Exotic Derivatives Expertise: Possess a deep understanding of exotic derivatives products, modelling, pricing and their market risk profiles. 4. Risk Assessment: Conduct regular assessments of market risk exposures, stress testing scenarios, and sensitivity analyses to assess … Proven leadership experience, with the ability to effectively manage and develop a team of risk professionals. - Excellent analytical skills, with proficiency in quantitative analysis, statisticalmodelling, and risk assessment techniques. - Solid understanding of regulatory requirements related to market risk management (e.g., Basel III, FRTB). - Advanced proficiency in more »
for a Data Scientist to join their Product team – you will be working on the latest AI and ML techniques as well as traditional statisticalmodelling to create best in class products that will give them and their clients a competitive edge. You will be working as part more »
mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. **Role and Responsibilities:** - Develop and implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and … or mathematical discipline (e.g., Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability to more »
data analytics and economic experience to design and execute pricing strategies Work closely with technical teams to build and fine-tune pricing algorithms Use statisticalmodelling and machine learning to create predictive pricing models Conduct thorough cost-benefit analyses, shaping pricing decisions to maximise overall value for the … both strategic and financially sound What we're looking for: Proven track record in value based and dynamic pricing strategies, data analytics, and economic modelling Deep understanding of economic theory and its practical application in pricing decisions Experience in creating and implementing price recommendation algorithms Good interpersonal and time more »
peers is your ability to deliver sophisticated analytics in an authentic, down-to-earth, commercially focused manner. Your toolkit includes s egmentation, consumer choice modelling, pricing analytics, econometrics, conjoint & market simulation, data mining & data fusion, market sizing & mapping, brand analytics and much more. Fundamentally, you desire to use analytical … You will work on a wide range of projects from new business generation & client acquisition to proposal writing, data auditing, script checking, analysis and statisticalmodelling, and full debrief preparation and consultancy. Helping to raise your personal profile and that of the consultancy through blogs, thought leadership pieces more »
science & analytics. Embed the data function into different parts of the business (product, marketing, tech) and across product lines.. Lead advanced quantitative analyses using statisticalmodelling approaches. Investigate and implement new analytical and data products, determining the value of modern advances, i.e. AI/Generative AI Use a more »
Development/Research experience is ideal Proficient programming skills (Ideally Python or Rust) Strong mathematical background Experience with data science, creating features and improving statistical models. BS or Masters in Computer Science, Engineering, or related quantitative discipline To discuss the role in confidence, please reach out to Rhys at more »
into execution quality. Responsibilities: Design, develop, and maintain TCA analytics and tools to assess and optimize trade execution performance across various asset classes. Implement statistical models and algorithms to analyze transaction costs, market impact, and liquidity dynamics. Collaborate with traders and quantitative researchers to identify areas for improvement in more »
delivering, supporting the development of our warehouse and factory construction research. In this position, you will be developing new methodologies and research approaches, leveraging statistical models like regression analyses. In addition to doing research, you will also be supporting the commercial success of the group by engaging with clients more »
or mathematical models. Strong proficiency in programming languages such as Python, Java, or R, with experience in test automation and scripting. Solid understanding of statistical methods, mathematical modelling techniques, and data analysis tools. Familiarity with regulatory requirements and industry standards related to model risk management (e.g., SR more »
monetisation efforts, shaping company growth and enhancing user experience. As Senior Data Analyst, you will: Improve budgeting and forecasting systems through: Trend analysis and statisticalmodelling Methods like Linear Models and Random Forests Analyse large datasets by: Applying feature analysis Utilising Permutation Importance Implement machine learning methodologies: Utilise more »
code optimality test and a culture fit round. As part of our team, you'll embark on thrilling responsibilities including:- Utilizing advanced mathematical and statistical techniques to model and forecast Bitcoin market movements. Analyzing extensive financial datasets to identify lucrative trading opportunities. Exploring academic journals and financial literature to more »
understanding of gas and power markets, including physical and financial products, market structures, trading protocols, and regulatory frameworks. Excellent quantitative skills, including proficiency in statistical analysis, quantitative modeling, and risk management techniques. Strong communication and interpersonal skills, with the ability to interact effectively with clients, colleagues, and stakeholders in more »