tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statisticalmodelling Strong analytical and quantitative skills Experience working with large, unstructured data sets Prior experience in the investment management industry, with good knowledge more »
to provide comprehensive recommendations in solution design, business process design, business policy setting, and business metric definition. Quantitative and analytical skills (financial analysis, mathematical modelling, and statistics, etc.) Ability to “dive into” the data to determine root-cause. Desired ability to understand statistical forecasting models. Desired ability to more »
Croydon, England, United Kingdom Hybrid / WFH Options
Hawksworth
working on Motor or Home insurance products. As a Senior Pricing Analyst in the Pricing R&D Motor or Home Team, you will use statisticalmodelling, machine learning techniques and insurance market knowledge to develop and implement price optimisation across our Motor and Home insurance product range. You … your career! Knowledge , Skills & experience required: years’ experience in Pricing Optimisation in the Financial/Regulated industry (ideally Insurance). knowledge and experience using statistical methods, predictive models, and machine learning techniques to achieve business objects. This should include GLMs (Generalised Liner Models) and tree-based GBMs (Gradient Boosting more »
Development team, you will play a pivotal role in leveraging data to drive innovation and solve real-world problems. Utilising you're expertise in statistical analysis, data modelling and problem solving in order to shape the direction of product and services. THE ROLE The successful Statistician responsibilities will … then use this data to build a model to fix the issue Data crunching unstructured data, analysis, finding out the problems, utilising exploratory and statistical analysis Working on real life production data, solving real life business problems, including financial forecasting too Full ownership and decision making for their projects … they think will work as a solution. Working closely with the C-Suite on a daily basis YOUR SKILLS AND EXPERIENCE SQL & Python for statistical analysis within a product environment BSc or MSc in mathematical/stem based subject THE BENEFITS Up to £70,000 + benefits Hybrid London more »
DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator and … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics Desired more »
London, England, United Kingdom Hybrid / WFH Options
Informa
that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the respective more »
to join their growing team on an exciting journey to support the development of advanced therapeutics addressing critical healthcare challenges. You will lead advanced modelling methods, with a focus on generating novel target recommendations, validating them in models, and translating them into therapeutics. Principal Computational Biologist key responsibilities: – Lead … the ‘advanced modelling’ workstreams, and be the point of contact and a role model for advanced modelling within the company. – Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping and/or omics data in close collaboration with … together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities. – Routinely use Python/R for data analyses, in particular data wrangling, modelling and visualisation. – Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. – Lead, co-develop, and run pipelines in more »
are interested in expertise in all HFT, MFT, and LFT). Construct robust portfolio based on multiple signals Identify new trading opportunities by using statistical methods and analyzing large data set Contribute to improving a state-of-the-art quantitative pipeline that allows for fast strategy test iteration and … or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in Python and understanding of Git Desirable traits Curious and open more »
other financial institution Strong programming skills in C# and experience with SQL and database management systems Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable High levels of motivation and continually seeking to improve the performance of self and supportive of others more »
understanding of Market Risk domain including processes, methodology, market & reference data and governance & controls Ability to work with data, analyze complex information, and use statistical and mathematical models to assess risk Understanding of regulatory requirements and standards related to risk management is important, including Basel III, Dodd-Frank, and more »
successful scala software engineer will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure. You will be working closely with the quantitative researchers and alongside other extremely talented and driven more »
charges across gas and power Propose ongoing changes to rates based on a deep understanding of cost methodologies and analysis of underlying assumptions. Use statistical models to extrapolate assumptions into the future based on past and future trends Engage with pricing team to ensure pricing systems are updated timely … and judgment to plan and accomplish goals Proficient in the use of Excel (necessity) as well as working knowledge of SQL, Power BI and statistical tools such as Python (desired more »
the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing high quality code and deploying these models both on premise and into the cloud. Skills : Experience either within the more »
Coleshill, England, United Kingdom Hybrid / WFH Options
Mercury
Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statisticalmodelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great learning and development more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »
quantitative models for trading equities, focusing on optimisation strategies. Collaborate with cross-functional teams to enhance trading algorithms and improve overall system performance. Utilise statistical analysis and mathematical modelling to identify trading opportunities and enhance decision-making processes. Contribute to the design and development of algorithmic trading systems … domain. Strong programming skills in languages such as Python, C++, or Java. Solid understanding of financial markets, algorithmic trading, and quantitative modelling. Experience with statistical analysis, machine learning, and data analysis techniques. Ability to work in a fast-paced, dynamic environment and adapt to evolving market conditions. Excellent communication more »
the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders … team to start in July/Aug 2024 Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting … skills in languages such as Python or R. SQL also necessary to leverage old code base. Be seen as an expert in machine learning, statisticalmodelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. more »
with expert knowledge and experience relating directly to the delivery of this Technology Specialist role. Demonstrate at least 7 years of experience leading simulation, modelling and analytical studies, including one or more of: Discrete Event Simulation; System Dynamics; Agent Based Modelling; Mathematical and StatisticalModelling; Spreadsheet … Modelling; Cost Modelling and Estimation; Mathematical Programming and Optimisation (linear/non-linear optimisation, constraint programming, heuristic optimisation); Kinematic modelling, virtual build simulation/virtual validation and commissioning, 3D modelling; Digital integration such as multi-methods or augmented intelligence. In addition to you specialist field, you … manufacturing industrial application. You will have an in depth understanding/appreciation of the challenges in the adoption of digital technologies in respect to modelling and simulation. Expertise in one or more technologies that contributes towards delivery of Digital Engineerings strategicvision of: virtual manufacturing validation, digitally assisted design, model more »
Coventry, England, United Kingdom Hybrid / WFH Options
Consilium Recruit
with expert knowledge and experience relating directly to the delivery of this Technology Specialist role. Demonstrate at least 7 years of experience leading simulation, modelling and analytical studies, including one or more of: Discrete Event Simulation; System Dynamics; Agent Based Modelling; Mathematical and StatisticalModelling; Spreadsheet … Modelling; Cost Modelling and Estimation; Mathematical Programming and Optimisation (linear/non-linear optimisation, constraint programming, heuristic optimisation); Kinematic modelling, virtual build simulation/virtual validation and commissioning, 3D modelling; Digital integration such as multi-methods or augmented intelligence. In addition to your specialist field, you more »
of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate flexibility … agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statisticalmodelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »
you are:A curious, self-motivated individual, enthusiastic about using data to help inform product decisionsPrior experience with at least one key analysis and statistical methodologies, such as model-based analyses (regression, clustering etc.), cohort analysis or A/B testingPrior experience building dashboards and delivering actionable insights leveraging more »
. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working culture 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 »