Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Operations/Data Analyst - Excel/Banking

Harvey Nash
London
1 year ago
Applications closed

Related Jobs

View all jobs

Commercial and Operations Data Analyst

Financial Data Analyst (Public Finance)

Financial Data Analyst (Banks)

Administrator & Data Analyst

Data Analyst - Customer Success

Production Data Analyst

Data Analyst - Excel - sought by leading investment bank based in Canary Wharf - Contract - Hybrid inside iR35 - umbrella Knowledge/Experience: Familiarity with client-managements systems. Comfort around Operations/Technology. Basic understanding of research products. Relevant financial services experience across several Capital Markets a plus but not essential. Customer service experience with confidence to interface with clients to understand and manage their needs daily. Skills: Analytical: Ability to connect the dots, comfort around unstructured data. Analytical: Ability to probe, follow up and push back until gaps are closed. Analytical: Solid Excel skills as a core requirement. Ability to run/reconcile reports. Self-starter: Comfort with ambiguity, ability to seek help. Tenacity and resilience. Self-starter: Possess a positive attitude, drive and initiative. Good interpersonal skills and ability to manage internal and external client relationships. Clear and concise written and verbal communication and presentation a must. Confidentiality. Competencies: Numerical and verbal accuracy is a must; excellent attention to detail. Efficiency and speed in carrying out tasks. Methodical approach and strong organisational capabilities. Adept in working collaboratively as a valuable and productive teammate. Please apply within further details - Matt Holmes - Harvey Nash

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.