376 to 400 of 463 Finance Jobs in Manchester

evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup … tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund ...

evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup … tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund ...

evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup … tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund ...

evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup … tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund ...

evaluate and train AI systems. If you enjoy solving complex problems in venture capital and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup … tasks like due diligence for early-stage companies, funding round structuring, and portfolio construction for VC funds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Venture Capital (e.g., seed/Series A–C investing, VC fund ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in growth equity and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth … capabilities on tasks like revenue build modeling, cohort analysis, SaaS metrics evaluation, and deal structuring for growth rounds. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements 2+ years of experience in Growth Equity (e.g., growth-stage investing, late-stage ...

evaluate and train AI systems. If you enjoy solving complex problems in capital markets and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on capital markets topics such as securities … assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks ...

evaluate and train AI systems. If you enjoy solving complex problems in capital markets and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on capital markets topics such as securities … assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks ...

evaluate and train AI systems. If you enjoy solving complex problems in capital markets and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on capital markets topics such as securities … assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks ...

evaluate and train AI systems. If you enjoy solving complex problems in capital markets and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on capital markets topics such as securities … assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks ...

evaluate and train AI systems. If you enjoy solving complex problems in capital markets and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on capital markets topics such as securities … assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks. Requirements: 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks ...

expanding revenue within your account base. You'll be the primary point of contact for your clients, building trusted relationships across HR, operations, payroll, finance and IT, and identifying opportunities to grow each account through additional products and services. The Opportunity This is more than a standard sales role. … once trained, plus further UK travel as needed. Key Responsibilities Build and maintain strong, long-lasting client relationships, engaging stakeholders across HR, operations, payroll, finance and IT as a trusted advisor Meet or exceed growth and revenue targets through upsell and cross-sell across the product suite Develop account plans ...

national government, academia, industry and the VCFSE sector. The role offers the opportunity to advance digitisation across the region and unlock the societal and financial value of health and care data. Main duties of the job The post-holder, as a member of the regional executive team, will provide professional … substantial track record of delivering results in very complex high-profile environments Sector knowledge Demonstrable technical understanding of NHS providers, commissioners and systems, the financial processes they require for success, and the regulatory/control environment, in which they operate. Disclosure and Barring Service Check This post is subject ...

Utilities team across Manchester and the North West. Drive business growth through client development, networking and successful work-winning activity. Take ownership of regional financial performance, including revenue, profitability and P&L responsibility. Provide commercial leadership across major infrastructure commissions, ensuring best practice in NEC3/NEC4 contract management. Build … long-term client relationships and growing business performance. Experience leading and developing multidisciplinary teams. Strong commercial awareness with responsibility for project profitability, forecasting and financial performance. Excellent stakeholder management, leadership and communication skills. A degree in Quantity Surveying, Construction Management, Engineering or a related discipline. MRICS or an equivalent professional ...

role As a Software Development Engineer, you’ll help design, build and support resilient back-office systems that power sales, stock control and financial accuracy across our Booker estate. You’ll work across a mixed technology landscape—combining legacy systems with modern platforms—to deliver reliable, scalable solutions for high … both Experience working in a Linux environment, including scripting and batch processing Knowledge of transactional or back-office systems (e.g. stock control, sales processing, financial systems), ideally in retail or wholesale Strong problem-solving skills, with experience diagnosing and resolving complex live issues Experience delivering changes via structured development ...

role As a Software Development Engineer, you’ll help design, build and support resilient back-office systems that power sales, stock control and financial accuracy across our Booker estate. You’ll work across a mixed technology landscape—combining legacy systems with modern platforms—to deliver reliable, scalable solutions for high … both Experience working in a Linux environment, including scripting and batch processing Knowledge of transactional or back-office systems (e.g. stock control, sales processing, financial systems), ideally in retail or wholesale Strong problem-solving skills, with experience diagnosing and resolving complex live issues Experience delivering changes via structured development ...