Financial Modelling Consultant

Job Title

Financial Modelling Consultant

Report To
Climate Infrastructure Lead, with a dotted line to the CEO.
Job Summary

To support the Green Infrastructure Team (Clean Energy, Green Housing, and Climate-Smart Agriculture) by developing robust and standardized financial models, lead training initiatives at the STAR Academy, and conduct specialized training sessions for analysts to strengthen their financial modeling capabilities

Background

Financial modelling is a critical skill set that underpins the decision-making process for project finance. At InfraCredit, the ability to develop/build and analyze complex financial models is essential for evaluating the feasibility of transactions, structuring deals, and ensuring that projects align with both financial objectives and broader strategic goals.

As InfraCredit continues to advance its objective to unlock the potential for long term finance and deepen the debt capital market in Nigeria by providing local currency guarantees to enhance the credit quality of debt instruments issued to finance creditworthy infrastructure assets in Nigeria that conform with its eligibility criteria, there is a pressing need to build capacity in financial modelling across the firm.

To address this need, establishing of dedicated Financial Modelling resource is essential in enhancing our growth potential. This role will serve as a centre of excellence within InfraCredit and work as part of the Green Infrastructure (Clean Energy, Green Housing and Climate-Smart Agro) transaction team in building accurate and robust financial models while driving a culture of continuous learning and improvement

The Financial Modelling Consultant will play a fundamental role in not only leading the development and validation of financial models, but also work as part of the team to gain more insights on our Green Infrastructure transactions and will participate alongside in client engagement, structuring and executing transactions. The consultant will also spearhead capacity-building efforts through InfraCredit’s knowledge exchange programs and STAR Academy. This role is designed to ensure that InfraCredit’s team is equipped with the latest financial modelling techniques and knowledge, enabling the deal team to meet the demands of a rapidly evolving infrastructure finance landscape.

Job Responsibilities

The Financial Modelling Consultant will support the Green Infrastructure (Clean Energy, Green Housing and Climate-Smart Agro) Team in developing robust and standardised financial models,leading training initiatives at the STAR Academy, and conducting specialized training sessions for analysts. This role demands a strong blend of financial acumen, analytical skills, and the ability to train and mentor staff within the organization. The key responsibilities include:

  1. Design and build comprehensive financial models for project finance and infrastructure finance related transactions across Clean Energy, Green Housing and Climate-Smart Agro sectors.
  2. Standardisation of financial models in Clean Energy, Green Housing and ClimateSmart Agro sectors
  3. Prepare financial forecasts, including cash flow projections, income statements and balance sheets
  4. Provide expert guidance on structuring financial models for transactions across Clean Energy, Green Housing and Climate-Smart Agro sectors, while ensuring models are tailored to the unique requirements of each transaction and aligned with InfraCredit’s strategic objectives.
  5. Lead the development and enhancement of financial modelling tools and templates that can be used across the organization to improve efficiency and accuracy in financial analysis.
  6. Support the Clean Energy, Green Housing and Climate-Smart Agro transactions team in standardising data gathering for building financial models
  7. Design and deliver customized financial modelling courses for the STAR Academy ensuring that the curriculum is relevant, up-to-date, and meets the needs of the trainees.
  8. Conduct regular and ad-hoc training sessions for analysts on various aspects of financial modelling to improve the skill set.
  9. Create and maintain a comprehensive training curriculum that evolves with industry developments and InfraCredit’s strategic needs, ensuring analysts are equipped with the latest knowledge and skills.
  10. Act as a mentor to STAR Academy participants, providing ongoing support and feedback to empower participants excel in financial modelling.
  11. Monitor and evaluate the progress of analysts, offering personalized coaching and additional support as necessary to ensure high performance in financial modelling tasks.
  12. Any other responsibilities as may be assigned from time to time during the engagement period

Qualification Requirement

Candidates for the role should possess the following qualifications:

  1. Bachelor’s degree in accounting, business administration, economics, finance, engineering, or a related field. Master’s degree or relevant professional qualification is an added advantage.
  2. Professional certifications such as, CFA, ACA, ACCA, FMVA are highly desirable. Additional certifications in financial modelling like AFM, or project finance will be an added advantage.
  3. Minimum of five years of relevant experience in financial modelling, valuation, investment banking, debt capital market, private equity, project finance, or a similar role within the financial services industry.
  4. Strong analytical skills and attention to detail and proficiency in Microsoft Excel and other modelling related tools.
  5. Demonstrated experience in structuring, developing, and validating complex financial models for various types of transactions.
  6. Experience in training and mentoring teams, with a proven ability to design and deliver effective training programs.
  7. Strong understanding of valuation, investment analysis, and project finance principles.
  8. High attention to detail, with strong organizational and time management skills.
  9. Up-to-date understanding of market trends, regulatory requirements, and industry best practices in financial modelling.