ABOUT THE ORGANIZATION:
Applied Digital (NASDAQ: APLD) is a U.S. based operator of next-generation digital infrastructure, providing cost-competitive solutions to High-Performance Computing (HPC) and Artificial Intelligence (AI). APLD has two business parallels: next-generation Data Center colocation services and AI GPU cloud services (under Sai Computing). Applied Digital seeks to develop and operate ultra-low-cost digital infrastructure purpose-built for high-performance computing applications, by bringing Data Centers directly to the point of power. This allows the company to build infrastructure that largely uses renewable energy and encourages the build-out of more renewables by providing a higher return on investment for sustainable projects.
Job Post Summary
We are seeking a Vice President of Financial Planning and Analysis (FP&A) with a robust background in technical infrastructure, GPU-accelerated computing, networking, and financial modeling. The ideal candidate possesses a deep understanding of GPU architecture, is proficient in high-performance networking, and has advanced skills in financial modeling. This role requires a blend of expertise in programming, statistical inferencing, development, research, finance, and interdisciplinary skills to bridge the gap between hardware and software for optimal performance in financial and data science applications. Occasional domestic travel (less than 5-10%) is required.
Key Responsibilities:
Manage special projects, reverse diligence, and qualitative/quantitative analysis for C-Suite Levels and the Board.
Develop complex financial models for risk analysis, forecasting, and valuation, integrating cutting-edge financial software and tools.
Utilize Python and R for comprehensive data analysis, statistical modeling, and research project development.
Conduct hypothesis testing, regression analysis, and time series analysis to extract actionable insights from data.
Design and optimize GPU clusters for parallel processing tasks, leveraging frameworks such as TensorFlow and PyTorch.
Collaborate effectively with cross-functional teams, ensuring clear communication of complex technical concepts to a diverse audience.
Lead the acquisition, cleaning, and preprocessing of data, upholding principles of data governance and integrity.
Apply machine learning and statistical modeling techniques for effective modeling, feature engineering, and model tuning.
Stay abreast of emerging GPU technologies and standards, integrating best practices for computational efficiency and performance optimization.
Spearheaded the development and execution of robust financial planning processes and strategies, aligning them seamlessly with both short-term imperatives and long-term corporate objectives.
Actively engage with executive leadership to integrate financial planning initiatives with the overarching corporate strategy, ensuring a cohesive and impactful approach.
Prepare and present comprehensive financial reports to executive leadership and the board of directors, delivering clear and concise financial insights and actionable recommendations.
Identify and assess financial risks, proposing effective strategies to mitigate potential impacts on the company's financial performance.
Lead or contribute to M&A due diligence efforts, conducting thorough financial assessments and providing critical insights.
Support M&A activities by collaborating with cross-functional teams, aiding in financial integration planning, and ensuring seamless transitions.
The role supports the majority of new business, prospect ventures, legal, and contractual work besides financial and accounting work.
The role’s technical aspects are incremental to support a technical business’ finance function.
The role is useful where there is a need to understand, bridge, and implement solutions that help with customer negotiations, and contract terms, help explain the business functionality in simple terms to nontechnical engagements, and also provide data-driven strategies to support revenue generation and cost-effectiveness.
The role also provides lifecycle support to the business where it stays involved in selecting hardware and purchasing it, designing the cost-effective customer solution, leasing or building infrastructure for it, and delivering it.
What We Offer:
A competitive compensation package of $220,000 / year plus additional bonus incentives.
A generous benefits package that includes health, dental, and vision coverage for applicants and dependents, as well as a flexible PTO plan.
Opportunities for professional development and career growth.
A collaborative and inclusive work environment.
Access to cutting-edge technology and resources.
The chance to make a significant impact on the intersection of finance and technology.
Applied Digital Cooperation is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals regardless of background and experience.
Note
This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. The company is an Equal Opportunity Employer, drug-free workplace, and complies with ADA regulations as applicable.
Qualifications
Minimum Qualifications
Master's degree in Finance, Accounting, Mathematics, Quantitative Finance, Accounting Analytics, or a related field.
Two years experience in a senior financial leadership role in a technical environment
Five years experience in strategic financial planning, budgeting, and forecasting.
Five years of experience in model deployment, maintenance, and optimization for scalability and performance.
One year of leadership experience with a track record of building and managing high-performing teams.
Expertise in financial modeling, with familiarity in financial software and analysis tools.
Advanced proficiency with GPU hardware and clusters, including CUDA and OpenCL.
Advanced proficiency in Python and R for data analysis, statistical modeling, and application development.
Knowledge of networking principles, high-performance network design, and distributed computing.
Knowledge of statistical methods and inferential statistics.
Strong analytical skills and the ability to translate complex financial concepts into actionable insights.
Excellent problem-solving skills, with a focus on optimizing performance for financial and data science applications.
Outstanding communication skills for effective collaboration with technical and non-technical stakeholders.
