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

Apply Now

Business Data Analyst

Belfast
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Senior Data Analyst

Senior Data Analyst - Saint Eval

HR Data Analyst

Senior Data Analyst

We are working with a global financial institution to recruit a Business Data Analyst to join their project execution team. This role is crucial for ensuring timely execution of Price Risk deliverables, leveraging expertise in business analysis, project execution, and delivery, with a focus on trade population control and data quality.
Key Responsibilities

Drive execution of the Price Risk Data regulatory book of work.
Enhance controls for trade population completeness and CDE data quality.
Perform control gap assessments and implement enhancements.
Address data quality issues with robust controls.
Lead/participate in working groups with stakeholders and technology partners.
Identify and resolve or escalate risks and issues.
Produce project updates for various forums.
Essential Criteria

At least 7+ years' experience as a Business Analyst in trade and CDE data controls.
Strong understanding of data structures and financial products.
Experience in designing and monitoring key controls in a trading environment.
Proficiency with project management tools (e.g., JIRA, MS Project).
Strong controls mindset and risk mitigation skills.
This role will be a hybrid role with 3 days in the office in Belfast. Although the role is initially for a 7-month period there is a high possibility of extension.
If you're interested in this role, please forward an up-to-date copy of your CV or call me on (phone number removed). If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

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.

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.

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.