Financial Analyst ATS CV Template — Technical, Deals-Led Guide

Open with a tight profile summary that states your modelling specialism, finance domain, and data sources. For example: "Financial Analyst specialising in DCF and LBO valuation for M&A and private equity" immediately aligns with common ATS keyword patterns. Mention the tools you actually use, such as Microsoft Excel (integrated 3-statement models), Bloomberg Terminal for market data, and FactSet/Capital IQ for comps and precedent research. If you hold or are pursuing a credential such as CFA or ACA, include the level and year—e.g., "CFA Level II (expected 2026)"—so both ATS and recruiters can verify credibility.

Back your summary with a “Core Skills” block that mirrors how analysts work day-to-day. Include valuation methods (DCF, multiples/precedents, LBO), modelling components (working capital logic, WACC/discount rate build, exit multiple selection), and analysis outputs (sensitivity tables and scenario comparisons). Add tool fluency in context, not as a buzzword list: for instance, “Excel VBA” if you automate schedules or model checks, or “Python” if you validate data pipelines. This section should read like a tool-and-output inventory that supports later achievements, not a generic list.

Use your experience section to describe outcomes generated from your models, not just tasks completed. Each bullet should include a modelling method, a deliverable, and at least one KPI such as deal count, deal value range, turnaround time, or coverage breadth. For example: “Built DCF valuation with 2D sensitivity (WACC vs. terminal growth) for £60m–£450m transactions across 12 deals; supported investment committee reporting with valuation ranges and key value drivers.” Include how you contributed to deal execution—for instance, drafting sections of teaser/CIM, refining operating assumptions, or supporting management Q&A for due diligence.

Show your analytical depth by specifying what you actually tested and how you governed quality. Mention controls such as “model checks, reconciliation of assumptions across tabs, and audit trails” and analysis artefacts such as “bridge from historicals to forecasts” or “revenue and margin drivers.” If you touched equity research work, reference deliverables like “company initiation notes,” “valuation comps sets,” and “earnings estimate revisions,” using FactSet or Bloomberg to support the data. If you worked in credit or portfolio analysis, reference credit KPIs such as “DSCR, leverage ratios, and covenant headroom,” and connect them to a decision recommendation.

Create a dedicated “Modelling & Tools” section that reads like a working analyst toolkit. State the software clearly—Microsoft Excel as the modelling backbone, Bloomberg Terminal for real-time market and trading information, and FactSet/Capital IQ for comparables and precedent databases. When relevant, include Excel VBA for automation such as data cleaning, schedule generation, or dynamic reporting, and explain what it improved (e.g., “reduced model build time by 20% via VBA automation”). This turns “tool familiarity” into evidence recruiters can trust.

Then demonstrate modelling technique by naming the outputs you consistently produce. Reference integrated 3-statement logic, WACC or discount rate build methodology, and exit assumption selection in DCF/LBO models. Include validation approaches like sensitivity analysis and scenario planning (base/bull/bear cases), plus how you present results through valuation tables and executive summaries for stakeholders. If you have scripting/data skills, mention them carefully and in context—e.g., “SQL/Python for dataset validation” supporting comps research—so the ATS and recruiter both understand how the skill contributes to financial decisions.

List education and professional credentials in a straightforward, ATS-readable format. For CFA or ACA, include status and level, study pathway, and expected completion dates; for example, “CFA Level II Candidate, expected June 2026” or “ACA qualified (2024).” If you have additional training relevant to finance—such as accounting standards work, IFRS/GAAP modules, or valuation coursework—add it with a date so it’s verifiable. This improves recruiter confidence and supports ATS matching to qualification keywords.

Keep formatting ATS-compatible by avoiding tables for core content and using consistent headings. Use bullet points, simple lines, and standard section names so parsing tools extract information correctly. Ensure date ranges are consistent (e.g., “2023–Present”) and that the role title plus domain appears early in each job entry. A clean structure also helps human reviewers quickly scan your modelling, tools, and credential status—critical for finance recruitment timelines.