Financial Planning & Analysis Analyst with Machine Learning and Analytics Expertise

FP&A Analyst (ML/ Analytics)

FP&A Analyst (ML/ Analytics)

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

In the Finance and Corporate Strategy team we ensure that the business’s capital strategies are operationally supported and strategically focused. This is how we work to secure the greatest return on investment for the global company. By gathering and analysing financial data we can influence decisions within the business, drive initiatives, and help ensure alignment with our wider objectives. Join us redefine what’s next for you.

Role Overview

We are seeking a Machine Learning Engineer to drive advanced analytics and predictive modelling within the FP&A function. This role will focus on building scalable ML models to improve forecasting accuracy, scenario planning, budgeting automation, and financial decision support.

You will partner closely with FP&A leaders, Finance Business Partners, Data Engineering, and Business Intelligence teams to transform financial data into predictive insights and intelligent automation.

Job Family Definition:

Partners with the businesses to ensure that the capital strategies are operationally supported and strategically focused to secure the greatest return on investment for the global company. Gathers financial data and performs financial analyses and reporting (e.g., profit & loss, balance sheet, cash flow, pricing, etc.) to influence decisions within the business and to drive cross-business initiatives (e.g., Mergers & Acquisitions). Drives the forecasting process (weekly, monthly, and long term) by analyzing trends within the businesses and ensuring alignment with business- and corporate-wide objectives. Communicates and drives adherence to Generally Accepted Accounting Principles (GAAP) and the organization's financial goals and policies. Has the fiduciary responsibility to represent financial results correctly both internally and externally. Ensures strong business controls.

Management Level Definition:

Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees.

What you’ll do:

Responsibilities:

• Develop and deploy machine learning models for revenue forecasting, cost modelling, cash flow prediction, and financial scenario analysis
• Build automated forecasting systems that reduce manual planning cycles
• Create anomaly detection models for budget variance analysis and financial risk monitoring
• Develop driver-based planning models leveraging statistical and ML techniques
• Partner with FP&A teams to translate business requirements into analytical solutions
• Design scalable data pipelines to integrate Snowflake, Databricks and operational data sources
• Implement model monitoring, governance, and explainability frameworks
• Present model outputs and insights to finance leadership in business-friendly language

What you need to bring:

Education and Experience Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, Economics, or related field.
• Typically 6+ years of experience as a financial analyst.
• Typically experienced in more than one finance function.

Knowledge and Skills:

• Excellent understanding of accounting principles and financial analysis, with advanced knowledge in one area.
• Excellent analytical skills.
• Excellent business application skills (e.g., Microsoft Excel).
• Excellent communication and influencing skills.
• Superior teamwork skills
• Strong business acumen.
• Good project management skills.

Additional Skills:

Accountability, Accountability, Active Learning, Active Listening, Bias, Big Data Analytics, Coaching, Commercial Acumen, Creativity, Critical Thinking, Customer Centricity, Design Thinking, Digital Transformation, Empathy, Financial Planning and Analysis (FP&A), Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Internal Controls, Long Term Planning, Management of Change, Managing Ambiguity, Numerical Data Analysis, Policy Management, Problem Solving Mindset {+ 4 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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Job:

Finance

Job Level:

Expert

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.