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Dcf Analysis Jobs in Texas (NOW HIRING)

... DCF, marker approach, commodity contracts/forecasts and other contingent claim analysis * Strong Excel & Microsoft Word skills * Consensus driven and team focused with strong analytical, critical ...

Financial Analyst

Irving, TX · On-site

$63K - $106K/yr

... financial analysis, transaction summaries, and support for functional analysis interviews ... Experience with DCF and WACC valuations required, knowledge of business intelligence tools, ERP ...

Posted today

Financial Analyst

Irving, TX · On-site

$63K - $106K/yr

... financial analysis, transaction summaries, and support for functional analysis interviews ... Experience with DCF and WACC valuations required, knowledge of business intelligence tools, ERP ...

Posted today

... DCF, marker approach, commodity contracts/forecasts and other contingent claim analysis * Strong Excel & Microsoft Word skills * Consensus driven and team focused with strong analytical, critical ...

Sr. Financial Analyst

Arlington, TX · On-site

$77K - $95K/yr

INDEX/MATCH, SUMIFS, XLOOKUP, dynamic arrays; data tables and scenario/sensitivity analysis; Power Query/Power Pivot a plus) and financial modeling expertise, including NPV/IRR/DCF; experience with ...

Analyst, Portfolio Management

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... calculations, DCF and NPV valuations, sum-of-the parts analyses * Prepare presentations and ... Provide analysis to drive strategic decision making in areas such as portfolio composition ...

Showing results 21-40

Dcf Analysis information

What is DCF analysis?

DCF analysis, or Discounted Cash Flow analysis, is a financial modeling method used to estimate the value of an investment based on its expected future cash flows. By projecting these cash flows and discounting them back to their present value using a required rate of return, analysts can determine whether an investment is undervalued or overvalued. This technique is widely used in corporate finance, investment banking, and equity research to assess the intrinsic value of companies, projects, or assets.

What are some common challenges faced when performing DCF (Discounted Cash Flow) analysis, and how can they be addressed?

One common challenge in DCF analysis is making accurate financial projections, as small errors in forecasting cash flows or estimating the discount rate can significantly impact the valuation. Additionally, DCF analysts often face difficulties in gathering reliable data and justifying the assumptions used in their models. To address these challenges, it's important to use industry benchmarks, maintain transparent documentation for all assumptions, and regularly update models as new information becomes available. Collaborating closely with finance teams and staying current with market trends can also help improve the quality and reliability of a DCF analysis.

What are the key skills and qualifications needed to thrive as a DCF analyst, and why are they important?

To thrive as a DCF Analyst, you need strong financial modeling skills, a solid understanding of valuation principles, and typically a degree in finance, accounting, or a related field. Proficiency in Excel, financial databases like Bloomberg, and possibly CFA certification are commonly required. Attention to detail, analytical thinking, and effective communication set outstanding analysts apart. These skills ensure accurate valuations and clear recommendations, which are critical for investment and corporate finance decisions.

What is the difference between Dcf Analysis vs Financial Analyst?

AspectDcf AnalysisFinancial Analyst
Primary FocusValuation of companies using discounted cash flow modelsAnalyzing financial data, preparing reports, supporting decision-making
Required SkillsFinancial modeling, valuation techniques, Excel proficiencyFinancial analysis, reporting, Excel, communication skills
Work EnvironmentOften in finance, investment firms, or corporate finance teamsCorporate finance, investment banking, consulting firms
CertificationsOften requires CFA, CPA, or similarOften requires CFA, CPA, or similar

While Dcf Analysis is a specialized skill focusing on valuation models, a Financial Analyst performs broader financial data analysis and reporting. Both roles often require similar certifications and work in related environments, but Dcf Analysis is a core component within a Financial Analyst's toolkit.

What cities in Texas are hiring for Dcf Analysis jobs?

Cities in Texas with the most Dcf Analysis job openings:

Investment Banking Analyst, Energy Engineer - Houston

Moelis

Houston, TX • On-site

Full-time

Re-posted 29 days ago


Job description

We are passionate about our business and our culture, and are seeking individuals with that same drive.

Job Description

Day-to-Day Responsibilities:
Lead and ensure technical excellence in the analysis and valuation of oil and gas assets.
Drive the preparation of client presentations and serve as a key point of contact for senior bankers and clients.
Oversee company and industry research, synthesizing findings into actionable strategic insights and recommendations.
Manage and mentor analysts in handling large datasets, technical workflows, and extracting critical business insights.


Primary Responsibilities:

Lead the development, calibration, and validation of type curves and production forecasts across a broad spectrum of oil and gas assets.
Apply advanced reservoir engineering and data science methodologies to formulate and defend optimized development strategies for client assets.
Direct the generation, categorization, and risk-assessment of undeveloped inventory.
Own the construction, population, and quality-control of complex discounted cash flow (DCF) valuation models using ARIES, PHDWin, and/or ComboCurve, and clearly articulate results to clients.
Own the development and maintenance of technical databases (ARIES, ComboCurve, PHDWin, SQL/Parquet, etc.) used for valuation and marketing analyses.
Lead technical and operational due-diligence workstreams, including diligence calls with counterparties, creation of deal materials, model audit, and process management from start to finish.
Partner closely with senior bankers to support transaction execution, client deliverables, buyer interaction, and process integrity.

Required Skills & Experience:

Strong data-analytics and problem-solving capabilities.
Exceptional attention to detail with the ability to manage multiple complex workstreams simultaneously.
Proven ability to perform under pressure and meet tight deadlines in a fast-paced, deal-driven environment.
Strong analytical and numerical skills with comfort navigating complex technical & financial datasets.
Strong presentation, communication, and client-facing skills.
Ability to challenge assumptions and contribute independent, critical thinking.
Effective team player capable of working with a wide range of internal groups and external stakeholders.
Advanced proficiency in Microsoft Excel; strong working knowledge of the full Microsoft Office suite.
Strong coding experience (Spotfire, Python, SQL, VBA, etc.) and demonstrated ability to automate workflows or handle large datasets.
Prior experience working with public oil & gas datasets (Enverus, IHS, state agencies, etc.).


Qualifications:

Bachelor's or Master's degree in Petroleum Engineering preferred; MBA or other advanced technical or quantitative degree is a plus.
1-2+ years of experience in the oil & gas industry, ideally in A&D, corporate development, reservoir engineering, or investment banking.
Minimum GPA: 3.5.

Desired Major:Petroleum Engineering.

We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.