DataScienceConsultant - Capital Markets DataScienceConsultant role with Director progression in growing consulting firm Ideally located Central London Offices Leading on projects with Top Tier Investment banks & PE firms You'll lead project teams working with our Capital Markets clients on key business problems & data challenges. You'll be introduced to … and will lead all relationships from a Data perspective within our capital markets clients, and to be successful in this role you'll build strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, DataScience & Machine Learning associated with electronic trading, statistical analysis of … different financial data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic: Maths, Stats, Science etc Track record of working on DataScience & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python More ❯
succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Analytics & AI - DataScience - Senior Consultant At EY, you'll have the chance to build a career as unique as you are, with the global scale … The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business … strategies. Data Pipeline Management: Be able to design, implement, and maintain data pipelines that are critical for model training and deployment. Your expertise will ensure the reliability and efficiency of our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs More ❯
operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We … graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. Postgraduate studies and/or specialized courses are an asset, especially in DataScience, Quantitative Finance or similar. Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab … and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity, responsibility and strong work ethic. Strong ability to learn quickly. Able to integrate easily into multidisciplinary teams. What we offer We offer you the possibility to join a firm that provides More ❯
operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We … graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. Postgraduate studies and/or specialized courses are an asset, especially in DataScience, Quantitative Finance or similar. Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab … and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity, responsibility and strong work ethic. Strong ability to learn quickly. Able to integrate easily into multidisciplinary teams. What we offer We offer you the possibility to join a firm that provides More ❯