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Part Time Financial Modelling Jobs (NOW HIRING)

IT Systems Engineer

Arlington, VA · On-site

$86K - $198K/yr

UML, SysML, and OMG Certified Systems Modelling Professional (OCSMP) Certification * Cloud+, AWS ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Project Manager Lead

Mclean, VA · On-site

$86K - $198K/yr

SysML OMG Certified Systems Modelling Professional (OCSMP) Certification * INCOSE Systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Financial Modelling information

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$40K

$70K

$108K

How much do part time financial modelling jobs pay per year?

As of Jul 5, 2026, the average yearly pay for part time financial modelling in the United States is $70,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $81,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Financial Modelling vs Part Time Financial Analyst?

AspectPart Time Financial ModellingPart Time Financial Analyst
Required CredentialsFinancial modeling certifications, Excel skillsFinance degree, analytical skills
Work EnvironmentProject-based, focused on creating modelsData analysis, reporting, and forecasting
Employer & Industry UsageConsulting firms, finance departmentsCorporations, investment firms, banks
Common Search & Comparison IntentUnderstanding modeling rolesAnalyzing financial data

Part Time Financial Modelling primarily involves building and maintaining financial models, often requiring specialized Excel skills and certifications. In contrast, Part Time Financial Analysts focus on analyzing financial data, preparing reports, and supporting decision-making. While both roles are part-time and finance-related, they differ in scope and daily tasks, with modeling being more technical and analysis more interpretative.

What are the key skills and qualifications needed to thrive as a Part Time Financial Modelling professional, and why are they important?

To thrive as a Part Time Financial Modelling professional, you need strong quantitative skills, proficiency in accounting and finance principles, and usually a degree in finance, economics, or a related field. Expertise in Microsoft Excel, financial modelling software, and familiarity with data visualization tools or certifications like CFA are highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for presenting insights and collaborating with stakeholders. These abilities ensure accurate, actionable financial models that support sound business decision-making even in a part-time capacity.

What is part time financial modelling?

Part time financial modelling involves creating and analyzing financial models for businesses or individuals while working fewer hours than a standard full-time position. These professionals use tools like Excel to forecast financial outcomes, assess investment opportunities, or support business decision-making, but on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or supplementing other work and can be found in various industries such as banking, consulting, or corporate finance.

How does a part-time financial modelling role typically integrate with full-time finance teams, and what collaboration challenges might arise?

In a part-time financial modelling role, you'll often work closely with full-time finance professionals, such as analysts and managers, to support projects or periodic financial planning. Communication and time management are key challenges, as you'll need to stay aligned with ongoing projects and quickly adapt to shifting priorities despite limited hours. Regular check-ins, clear documentation, and using collaborative tools can help ensure your work integrates smoothly with the team's efforts. This setup also offers opportunities to learn from experienced colleagues and contribute meaningfully without a full-time commitment.
What are the most commonly searched types of Financial Modelling jobs? The most popular types of Financial Modelling jobs are:
What states have the most Part Time Financial Modelling jobs? States with the most job openings for Part Time Financial Modelling jobs include:
Infographic showing various Part Time Financial Modelling job openings in the United States as of June 2026, with employment types broken down into 58% Full Time, 36% Part Time, and 6% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $70,035 per year, or $33.7 per hour.
IT Systems Engineer

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted yesterday


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0239412
Location:
Arlington,VA,US
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IT Systems Engineer
The Opportunity:
Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in aerospace and national defense? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution.
As a systems engineer on our team, you'll have the chance to shape the development and upgrades of aerospace systems across multiple defense, civilian, and space domains by leading digital engineering and model-based systems engineering activities. Your customer will trust you to not only design and develop these systems, but also evolve them with advanced technology solutions. On our team, you'll be able to broaden your skillset into areas like model-based design, model-based systems engineering, digital engineering, and technical analyses. Grow your skills by merging technical engineering expertise and model-based engineering to create digital engineering solutions that drive client missions.
Join us. The world can't wait.
You Have:
  • 5+ years of experience with IT engineering and systems integration, including digital engineering tool integrations and exploration of AI/ML solutions to improve integration workflows
  • Experience with AI/ML platforms such as TensorFlow, PyTorch, Keras, or scikit-learn, to develop or deploy machine learning solutions for systems engineering or IT operations
  • Experience building, deploying, maintaining, and optimizing AI-based applications
  • Experience with both Linux and Windows operating systems
  • Experience applying AI techniques to improve system performance, predictive analytics, or anomaly detection
  • Experience with AWS, Azure, or GCP cloud ecosystems and cloud-based AI/ML services such as Amazon SageMaker, Azure ML, or Google AI Platform
  • Experience with networking and cybersecurity principles, including implementing AI-assisted threat detection and response mechanisms
  • Knowledge of AI-driven solutions in IT systems accreditation and compliance with SRG or STIG requirements
  • Secret clearance
  • Bachelor's degree in Data Science, CS, or a STEM field

Nice If You Have:
  • Experience applying AI/ML techniques to requirements and architecture development across the systems development lifecycle (SDLC)
  • Experience performing analysis studies using AI/ML in modeling and simulation environments such as predictive simulations or behavior analysis
  • Experience supporting aerospace systems engineering activities, incorporating AI-based methodologies for design optimization and predictive maintenance
  • Experience with scripting languages such as Python, R, and Bash or PowerShell, for developing or automating AI processes
  • Knowledge of AI-based tools for exploring big data analytics and automation platforms that integrate AI capabilities such as Ansible, Terraform, or CloudFormation
  • Possession of excellent verbal and written communication skills, including in translating technical AI/ML concepts for various stakeholders
  • Master's degree in AI, ML, Engineering, or a related field
  • UML, SysML, and OMG Certified Systems Modelling Professional (OCSMP) Certification
  • Cloud+, AWS Solutions Architect Associate or Professional, Azure, or GCP Certification
  • CSEP or ASEP INCOSE Systems Engineering Professional Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914