5 of 5 Operations Research Jobs in Tyne and Wear

are facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily. Role: • Using the firms automated trading framework to research and apply strategies • Using progressive statistical approaches to analyse data and ascertain opportunities for trading • To build upon and develop strong understanding of market … During market – sporadically monitoring behaviour and performance of strategies. Ideal Candidate: • Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. • Programming proficiency with at least one major programming or scripting language (Python, C++ More ❯

data into meaningful insights. Supporting the evaluation of business change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging … and supporting the professional development of colleagues in the field. Engaging with internal and external analytical communities to enhance best practices and support research-led improvements. Essential criteria: Educated to degree level or with equivalent relevant experience. Demonstrable expertise in statistical analysis, business intelligence, and the development of … to strict deadlines. Excellent communication, interpersonal, and stakeholder management capabilities. Desirable: Postgraduate qualification in business intelligence or a relevant specialism. Understanding of public sector operations or experience in a comparable environment. Knowledge of predictive analytics and programming languages relevant to data science. This role offers an excellent opportunity for More ❯

data into meaningful insights. Supporting the evaluation of business change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging … and supporting the professional development of colleagues in the field. Engaging with internal and external analytical communities to enhance best practices and support research-led improvements. Essential criteria: Educated to degree level or with equivalent relevant experience. Demonstrable expertise in statistical analysis, business intelligence, and the development of … to strict deadlines. Excellent communication, interpersonal, and stakeholder management capabilities. Desirable: Postgraduate qualification in business intelligence or a relevant specialism. Understanding of public sector operations or experience in a comparable environment. Knowledge of predictive analytics and programming languages relevant to data science. This role offers an excellent opportunity for More ❯

ideally including statistical experience. Proven experience in data analysis, data modelling and data visualisation. Experience of using advanced concepts - probability, statistical analysis, operational research, predictive modelling and mathematics and programming. Proven planning and dependency management skills including the ability to prioritise across multiple complex work-streams and initiatives. … work, education and life experience has prepared you for the role of a Business Intelligence Analyst with . To help support your application research what makes us tick here at Northumbria, the role you're applying for and the values and behaviours that contribute. The recruitment process will More ❯

data into meaningful insights. Supporting the evaluation of business change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging … and supporting the professional development of colleagues in the field. Engaging with internal and external analytical communities to enhance best practices and support research-led improvements. Essential criteria: ... More ❯