Strategic Finance Analyst

Manchester
10 months ago
Applications closed

Related Jobs

View all jobs

Finance Data Analyst

Business / Data Analyst

HRIS Administrator and Data Analyst

Data Analyst

Senior Data Analyst

MI & Data Analyst

Job Title: Strategic Finance Analyst

Location: Manchester (Hybrid - 2 days per week on-site)

Department: Pricing Team | Reporting to: Head of Strategic Finance

About the Role

Markerstudy Distribution is seeking a Strategic Finance Analyst to join our innovative and fast-paced Pricing team. In this key supporting role, you'll collaborate with teams across Finance, Pricing, and the wider business to help provide actionable insights and financial models that enable smart, strategic decision-making.

You’ll work closely with senior stakeholders to support the delivery of the Strategic Finance roadmap, help build and maintain multi-year P&L models, and support reporting, analysis, and optimisation initiatives that influence business-wide performance.

About Markerstudy Group

We’re one of the UK’s leading personal lines insurance providers, responsible for:

• Insuring 5% of private cars, 20% of commercial vehicles, and 30% of motorcycles in the UK.

• Managing a total premium portfolio of ~£1.2 billion.

• Powering pricing for household brands including Co-op, Sainsbury’s, Halifax, Saga, Lloyds Bank, O2, and the AA.

We’re investing heavily in cutting-edge technologies, including AI, machine learning, and distributed computing, to build a market-leading pricing capability — and Strategic Finance is a key part of that transformation.

Key Responsibilities

As a Strategic Finance Analyst, you will:

• Build and maintain multi-year P&L forecast models to support income optimisation and strategic planning.

• Support reporting and monitoring of key Financial and Pricing KPIs.

• Assist with income optimisation initiatives and commercial performance analysis.

• Work collaboratively with cross-functional teams to gather inputs and ensure data consistency.

• Support preparation of materials for monthly strategic meetings with senior stakeholders.

• Deliver effective presentations of financial data to demonstrate impact of pricing and market changes.

• Provide ad hoc analysis to support Product Trading Performance.

• Support the execution of the Strategic Finance roadmap under the guidance of the Head of Strategic Finance.

What We’re Looking For

Essential Skills & Experience:

• Experience in commercial finance or similar roles, including Big 4 Audit/Transactional Services.

• Experience working with multiple teams on projects with tight deadlines.

• Strong Excel and PowerPoint skills; capable of creating and presenting analysis to stakeholders.

• Comfortable building simple financial and data models (e.g., Excel Power Query, Pivot Tables).

• Strong analytical mindset and keen attention to detail.

• Financial Services experience is preferred.

• A qualified accountant (ACA / ACCA / CIMA or equivalent) preferred, but not essential.

Personal Attributes:

• Clear communicator with strong interpersonal skills.

• Self-motivated with a drive to learn and grow.

• A team player with a logical and structured approach.

• Curious, professional, and passionate about continuous improvement.

Why Join Us?

• Hybrid working from our Manchester office (2 days per week on-site)

• Work alongside experienced professionals in a high-impact, commercially focused role

• Be part of a dynamic and growing team at the centre of pricing transformation

• Opportunities to develop your skills and build a career in strategic finance

• Competitive salary and benefits package

*A full job description is available on application.

Markerstudy Group is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.