to hear from you. The BM&A function is pivotal in supporting the efficient operation of the equities business. The team provides detailed trading analysis to our sales team, monitors business performance, and manages business initiatives from start to finish. We have an opportunity for someone to join at … a thriving organization. Role Responsibilities: You will have accountability for (but not limited to): Support the businesses' day-to-day needs with ad-hoc analysis to drive business results using various reporting tools and database querying - servicing a broad spectrum of stakeholders including Liquidnet Management & Sales teams and corporate … functions Ongoing business performance monitoring, competitor/market landscape analysis, product analysis, and the production of performance commentary and analysis Update and improve existing equities business processes to help drive efficiencies and ensure alignment with business needs Participate in and support numerous business management and governance routines More ❯
week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify … opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical More ❯
value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratoryanalysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance More ❯
understanding of performance for example through increased segmentation of metrics Understanding the interaction of key metrics and their relationship with strategic and performance goals Exploratoryanalysis to identify friction across the funnel impacting metrics, and quantify the business impact of this Working with the wider product analytics team More ❯
Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining … business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data … Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are More ❯
processes, and collaborate to build scalable, high-quality data solutions. Data Scientist: Support research and management teams by delivering high-quality data models and exploratory analysis. Extract insights from complex datasets, build data pipelines, and collaborate across teams to enhance data ecosystems. Why Grayce? We specialise in driving change … during the programme. What makes a great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical More ❯
