Senior Financial Analyst

Crosstree; Colombia; A distancia; COP 199.741.076 - 229.332.346; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Remote work

Direct collaboration with U.S. investment professionals

Technology-forward, AI-enabled working environment

Descripción de la vacante

A boutique investment bank is seeking a Senior Financial Analyst to join their remote team in Colombia. The ideal candidate has 5+ years of experience in investment banking, excellent bottom-up financial modeling skills, and advanced Excel proficiency. Responsibilities include building integrated financial models for M&A transactions and conducting detailed financial analyses. The position offers a competitive salary ranging from $54,000 to $62,000 USD per year plus bonus, and provides the opportunity to work alongside U.S. investment professionals.

Formación

• Demonstrated ability to build rigorous bottom-up financial models.
• 5+ years in investment banking or M&A advisory.
• Fluent in English, able to present and explain models.
• Strong accounting foundation and advanced Excel skills.

Responsabilidades

• Build and maintain bottom-up three-statement models for M&A mandates.
• Construct DCF valuations with sensitivity analysis.
• Perform detailed historical financial analysis.
• Manage model updates and roll-forwards with variance analysis.

Conocimientos

Bottom-up financial modeling

DCF valuation

Advanced Excel

Fluent English

Accounting fundamentals

Educación

5+ years in investment banking or related field

CFA designation (completed or in progress)

Herramientas

CapitalIQ

Descripción del empleo

Crosstree is a specialty boutique investment bank with an exclusive focus on Health Sciences, including Pharmaceutical Services, Diagnostics and Tools, and Digital Health. We advise founder‑led and PE‑backed middle‑market companies on M&A and private capital transactions.

We build institution‑grade financial models and transaction materials. The standard is not good enough for a regional bank, it is good enough to withstand scrutiny from a sophisticated buyer’s diligence team.

ROLE OVERVIEW

We are seeking a Senior Financial Analyst (Manager) to join our remote nearshore team. This is a hands‑on execution role at the core of our deal process, not a strategy role, not a business development role. You will build and own the financial models that underpin every transaction we run.

You will initially manage one Financial Analyst, with the expectation that the team grows as the firm scales.

The defining requirement of this role is the ability to build rigorous bottom‑up financial models from imperfect, real‑world inputs. If your modeling experience is primarily top‑down, applying growth rates to market sizes or revenue multiples to comparable companies, this role is not the right fit.

THE THREE MODEL TYPES THIS ROLE OWNS

Every engagement requires command of these three model types, listed in order of importance.

1. Bottom‑Up Three‑Statement Integrated Model

   This is the primary deliverable on every engagement and the foundational filter for this role. It must be built from the ground up, from trial balances, raw P&Ls, and operating data, not from a top‑down growth rate applied to a revenue line.

   Revenue must be constructed from actual business unit drivers:

   • Named client contracts or pipeline opportunities with probability weighting by named account
   • Bookings and backlog burndown schedules, not a percentage growth assumption
   • Headcount‑driven revenue where applicable (utilization rate × billable hours × rate)
   • Segment‑level forecasts for companies with multiple service lines or geographies

   Cost structure must reflect actual operating mechanics:

   • Headcount by function with fully loaded costs, salary, benefits, and payroll taxes
   • Clinical vs. administrative staff mix modeled separately where relevant
   • Variable costs tied explicitly to revenue or volume drivers, not a margin percentage
   • Capex tied to specific operational decisions, not a percentage of revenue

   Cash flow must reflect actual timing:

   • DSO‑driven accounts receivable build, not net income plus depreciation
   • Working capital movements explicitly modeled
   • Balance sheet must balance and cash flow statement must reconcile to period‑end cash
2. DCF Valuation

   Built directly from the three‑statement model, not a standalone exercise. Includes WACC build, unlevered free cash flow derivation, terminal value using both exit multiple and perpetuity growth methods, and sensitivity tables across at least two variables. The DCF must update dynamically when the underlying bottom‑up assumptions change.

3. Comparable Companies and Precedent Transactions

   The market context layer that validates and triangulates against the DCF. Public comps and M&A precedents in relevant healthcare sub‑sectors using CapitalIQ. Implied multiple derivation and benchmarking against the DCF range. Must be able to explain why each comp is or is not comparable.

   Note on LBO: understanding LBO mechanics well enough to anticipate a PE buyer’s return math is expected. Building a full LBO from scratch is a secondary skill for this role — the buyer runs their own model.

KEY RESPONSIBILITIES

• Build and maintain bottom‑up three‑statement models from trial balances and operating data for active M&A mandates
• Construct DCF valuations with sensitivity analysis tied directly to the integrated model
• Build comparable company and precedent transaction analyses using CapitalIQ
• Perform detailed historical financial analysis including quality of earnings, working capital normalization, and EBITDA adjustments
• Develop financial and valuation sections of CIPs, management presentations, and pitch materials
• Manage model updates and roll‑forwards with accurate variance analysis
• Review and refine junior analyst work against Crosstree’s modeling standards
• Support pre‑ and post‑marketing due diligence processes

QUALIFICATIONS — MUST HAVE

• Demonstrated ability to build bottom‑up three‑statement models from raw operating data — not top‑down market‑based projections
• 5+ years in investment banking, transaction advisory, credit/restructuring analysis, or boutique M&A advisory. Exceptional candidates from other backgrounds will be considered if the case study demonstrates IB‑grade modeling capability.
• Fluent English — written and spoken. Must be able to present and explain models directly to US Managing Directors without support.
• Advanced Excel — formulas, pivot tables, scenario analysis, dynamic model architecture with no hardcoded assumptions
• Strong accounting foundation — U.S. GAAP, balance sheet mechanics, cash flow reconciliation
• Available during US East Coast business hours

QULIFICATIONS — PREFERR

• Background in investment banking, Big 4 Transaction Advisory/Deals, or workout/restructuring credit analysis
• CapitalIQ proficiency — comps screening, financial data extraction, transaction search
• CFA designation (completed or in progress)
• Experience with healthcare sector companies
• Exposure to AI‑enabled workflow tools

APPLICATION AND CASE STUDY

Submit your resume with details of your transaction or advisory experience and a brief note confirming English proficiency.

Shortlisted candidates will complete a mandatory 72‑hour case study. The case study provides a messy trial balance and a set of operating data. You will build a bottom‑up three‑statement model, a DCF, and a comps table, and prepare a 2‑slide financial summary as if presenting to a client.

There is no template. The model architecture is part of what we are evaluating.

WHAT WE OFFE

• Competitive compensation: $54,000–$62,000 USD/year base + bonus
• Remote work with structured processes and clear workflows
• Direct collaboration with U.S. investment professionals, including Managing Directors
• Technology‑forward, AI‑enabled working environment
• Stable, long‑term opportunity with a clear path to team leadership as the firm scales
• The chance to build models at the highest level of industry sophistication

Crosstree is an equal opportunity employer.