Senior Analyst, Financial Modelling

CyberSentriq is a private equity-backed cyber security SaaS business scaling rapidly towards ~$100M ARR through a high-performance MSP-first go-to-market model. This is a rare opportunity to shape how the business understands and drives its revenue engine at scale - transforming fragmented data into a single, trusted source of truth that underpins every strategic decision.

We are now hiring for a Senior Analyst, Financial Modelling, on a 6 month fixed term contract. In this role, you will sit at the centre of Finance, Revenue, and Operations, building AI-enabled models that deliver clear, forward-looking insight on channel performance, partner productivity, and growth efficiency - directly influencing board-level decisions, investor confidence, and how we invest to better serve our customers.

Key Responsibilities

Highest complexity - Build the Data Cube

• Design and build a multi-dimensional financial Data Cube consolidating revenue, cost, pipeline, and channel data into one governed model.
• Define the dimensional structure (product, channel, region, customer segment, time) so the business can slice ARR, GRR, and cost data on demand.
• Establish data quality, reconciliation, and version-control standards so the Cube is trusted as the single source of truth.
• Automate refresh cycles to remove manual reconciliation and shorten the board reporting cycle.

Moderate complexity - Build the Revenue GTM Model

• Build and maintain a Revenue GTM model for the distribution/MSP channel - forecasting channel revenue contribution, partner productivity, and pipeline-to-quota coverage.
• Partner with Revenue and Sales Ops to align channel assumptions (partner tiers, deal velocity, attach rates) with actuals.
• Produce scenario views (base/upside/downside) to support channel investment decisions.

Business-as-usual

• Support monthly/quarterly FP&A cycles: variance analysis, forecast updates, and commentary for exec and PE-sponsor packs.
• Partner with Revenue, Marketing, and People teams to ensure financial models reflect real operational drivers, not just historic trend.
• Maintain documentation and model governance so work is auditable and transferable - no single-point-of-failure modelling.

Your Story

• 3-5+ years in FP&A, financial modelling, or commercial finance, ideally in SaaS or a subscription-revenue business.
• Advanced financial modelling skills (complex, multi-driver models) and strong data modelling / structuring capability.
• Working understanding of SaaS metrics - ARR, GRR/NRR, CAC, channel economics.
• Advanced Excel/Google Sheets; working knowledge of BI or data-cube tooling (e.g. Power BI, Looker, or equivalent).
• Comfortable operating with ambiguity and building structure from a loosely defined brief.

AI Fluency Expectations

AI fluency is mandatory for this role and forms part of probation and annual objectives. This role uses AI in three concrete ways:

• Data cleansing & reconciliation: using AI tools to identify anomalies and reconciliation breaks across source data feeding the Data Cube.
• Natural-language querying: enabling business stakeholders to query the Data Cube and GTM model in plain language rather than raw spreadsheets.
• AI-assisted scenario modelling: using AI to accelerate scenario/sensitivity analysis for the Revenue GTM model, with all outputs human-reviewed before use.

Success in this role is measured by:

• Data Cube live with governed refresh cycle and reconciled to source systems - target: zero material reconciliation breaks by month 4.
• Revenue GTM model adopted by Revenue leadership for at least one quarterly planning cycle.
• Board/PE-sponsor reporting cycle time reduced - target to be agreed with Head of FP&A.
• Positive stakeholder feedback from Revenue, Sales Ops, and People teams on model usability and trust.

Our Culture Code in This Role

Our four values are not posters on a wall. They are the standard we hire against, develop to, and hold each other to every day.

FORTRESS: Rigour and consistency in every model. Numbers are defensible, documented, and repeatable.

SHIELD: Protects data integrity and decision quality - the Cube is only valuable if it's trusted.

DISRUPTOR: Replaces manual, spreadsheet-bound reporting with a scalable, automated model.

CHAMPION: Backs the business with clear, fast, decision-ready insight - not just numbers

Celebrate your benefits with us!

• Enjoy 20 days paid holiday
• 2 CARE days - Give back to charity and get your birthday off as a thank you!
• Private medical - Caring for you inside and out
• Collaborative and supportive work environment
• Recognition for your contributions
• Opportunities for professional/personal growth Career advancement in our dynamic and innovative company

Ready to Make an Impact?

Join us in our mission to revolutionise the cybersecurity industry and achieve our ambitious growth targets. Apply today and take the next step in your career!

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• Please note that we do not accept speculative CVs from recruitment agencies. All submissions must be in response to specific job vacancies listed by our company. Any unsolicited CVs will be considered the property of CyberSentriq, and no fees will be payable in relation to them.