Data Business Analyst - Risk Rating & Pricing

London
8 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Senior Data Analyst

Senior Data Scientist / Machine Learning Engineer

Business Data Analyst Inside IR35

Business Data Analyst

Business Data Analyst

My client is based in the London area and are currently looking to recruit for an experienced Data/Business Analyst to join their team. They are one of the leaders within the consulting sector, and are currently going through a period of growth and are looking for an experienced BI professional to join their team. They have a vision to continually improve and incrementally adapt to their environments.

Your role will include:

Work closely with key business teams to gather and document requirements relating to risk assessment, pricing data, and associated tools and processes.

Carry out analysis on large and complex datasets to support the design, refinement, and monitoring of pricing models.

Assist with the identification, mapping, and analysis of key data sources and the flow of information between systems.

Help develop materials such as data dictionaries, process maps, and system documentation to promote clarity and consistency in how data is used across the organisation.

Facilitate and document workshops with teams including Underwriting, Actuarial, and Technology to capture business input and define technical requirements.

Collaborate with data engineering teams to support data sourcing, preparation, and quality assurance activities.

Produce reports and dashboards (Power BI) to present insights and inform business decision-making.

Contribute to testing and validation activities for pricing tools, ensuring business needs and data requirements are accurately captured.

Act as a link between Underwriting teams and Technology teams, translating business needs into actionable deliverables.

Support data governance initiatives by contributing to data quality improvement efforts and maintaining documentation standards.

My client is providing access to;

Hybrid 2/3 days,
25 Days Holiday, Plus Bank Holiday
Bonus Scheme
And More...

For this role, they are looking for a candidate that has experience in…

Practical understanding of the London Insurance Market landscape along with exposure to pricing platforms such as Radar, HX, or Verisk Rulebook is essential.

Familiarity with concepts surrounding risk assessment, pricing methodologies, or actuarial workflows would be considered advantageous.

Demonstrated background working in roles such as Data Analyst, Business Analyst, or similar analytical positions.

Strong capability in documenting business needs, creating clear data definitions, and mapping out system-related processes. Experience using tools like Oracle SQL Developer and Microsoft Visio is a plus.

Hands-on experience working with relational database systems, including but not limited to SQL Server, Oracle, MySQL, or PostgreSQL.

This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence.

Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.