Finance Systems Manager

Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Finance Master Data Lead: Data Quality & Governance

Data Analytics & AI Solutions Lead

Quantitative Developer

Principal Business Intelligence Analyst

Python Data Engineer - Hedgefund

Senior Pay Data Analyst

Job Title: Finance Systems Manager

Location: Hybrid working from Manchester or Peterborough

Company: Markerstudy Insurance Group

Reports to: Head of Finance Transformation

Job Summary:

We are seeking a skilled Finance Systems Manager to oversee and optimise our financial systems within a fast-paced UK insurance brokerage. The Finance Systems Manager is responsible for managing, optimising, and supporting Sage Intacct and related financial systems within a UK insurance business. This role ensures that finance technology supports regulatory compliance, improves operational efficiency, and enhances reporting capabilities. The role requires strong collaboration with Finance, IT, and external vendors to drive system enhancements and automation.

Key Responsibilities:

System Management & Optimisation:

Administer and maintain Sage Intacct as the core financial system, ensuring data integrity, security, and best practices.

Maintain and enhance chart of accounts, workflows, and financial processes within Sage Intacct.

Support the optimisation of Proactis and Invoice Capture for procurement and accounts payable workflows.

Support the enhancement of financial close and reporting processes using FloQast and Fluence.

Identify and implement system enhancements to streamline financial reporting, automation, and integration with other finance and insurance systems.

Work closely with Finance and IT teams to troubleshoot system issues, implement system upgrades, and optimise performance.

Integration & Automation:

Drive automation and efficiency across finance processes by leveraging system capabilities.

Develop and maintain system workflows, dashboards, and reporting tools.

Ensure compliance with regulatory and financial reporting requirements.

Finance Process & Regulatory Support:

Support month-end, quarter-end, and year-end close processes, ensuring accuracy and timeliness.

Ensure financial systems align with IFRS accounting standards, and FCA reporting requirements.

Assist in the integration of Sage Intacct with other finance and insurance platforms.

Project Management & Implementation:

Lead Sage Intacct and Proactis implementations, upgrades, and system integration projects within the business.

Gather business requirements from finance teams to configure system improvements.

Manage data migrations, testing, and validation during system upgrades or rollout to acquired businesses.

User Support & Training:

Provide system training and support to finance and operational teams on functionality and best practices.

Develop user guides, documentation, and process workflows to ensure effective system use.

Act as the first point of contact for troubleshooting user issues and liaising with Sage support.

Stakeholder & Vendor Management:

Work closely with IT, Finance, and external vendors to ensure system performance and alignment with business needs.

Manage relationships with Sage Intacct consultants and third-party service providers for system enhancements and support.

Stay up to date with Sage Intacct developments, UK insurance finance trends, and best practices.

Key Skills & Competencies:

Strong knowledge of Sage Intacct, including reporting, automation, and integrations.

Understanding of UK insurance finance processes and FCA compliance (desirable).

Experience in financial systems implementation, process automation, and integrations.

Strong analytical and problem-solving skills with attention to data accuracy and reconciliation.

Project management skills to drive system improvements and finance transformation initiatives.

Ability to communicate effectively with finance teams, IT, and external vendors.

Experience in training and supporting finance system users.

Qualifications & Experience:

Proven experience as a Finance Systems Manager, Systems Accountant, or similar role in the UK insurance or financial services sector.

Strong expertise in Sage Intacct, with knowledge of configuration, reporting, and integrations.

Experience managing Proactis, Invoice Capture, FloQast, Fluence, GTreasury, Anaplan, and Webexpenses is also desirable.

Professional finance qualification (e.g., ACCA, CIMA, ACA) or IT certifications related to financial systems are beneficial.

Strong knowledge of financial operations and financial controls.

Excellent problem-solving skills with a proactive, process-improvement mindset.

Strong stakeholder management skills with the ability to communicate technical concepts to non-technical users.

Work Environment & Expectations:

Competitive salary and benefits package.

Flexible/hybrid working options.

Will require occasional travel for system implementations, vendor meetings, or industry events.

Career development opportunities in a growing and technology-driven finance team.

Exposure to leading finance technologies and process automation initiatives.

Fast-paced environment requiring proactive problem-solving and adaptability.

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.

If you are a finance systems expert looking for an exciting opportunity to shape the financial technology landscape within a dynamic insurance brokerage, we’d love to hear from you!

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 to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

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

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.