Build and maintain operating and cash-flow models, apply AI/ML and data techniques to automate forecasts, run sensitivity and scenario analysis, translate strategy into financial outcomes, support fundraising/M&A/pricing, and create dashboards and reports for stakeholders.
This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a Financial Modeling AI Expert to join our team and play a critical role in bridging advanced analytics with strategic financial decision-making. This role is ideal for professionals who combine strong financial modeling fundamentals with an understanding of AI-driven tools and data-led insights. You will work closely with finance leaders, strategy teams, and business stakeholders to build dynamic models that inform high-impact decisions.
Requirements
Key Responsibilities:
- Develop, maintain, and enhance robust operating models that capture business drivers, revenue streams, cost structures, and capital allocation strategies.
- Build detailed cash flow forecasts, including short-term liquidity planning and long-term financial projections, ensuring alignment with business goals.
- Apply AI and data-driven techniques to automate, optimize, and improve the accuracy of financial models and forecasting processes.
- Conduct sensitivity analysis and scenario planning, including downside and stress-case modeling, to evaluate financial resilience under varying market conditions.
- Translate business and corporate strategy into clear financial implications, enabling leadership to assess profitability, risk exposure, and investment priorities.
- Collaborate cross-functionally with product, operations, and leadership teams to gather inputs and validate model assumptions.
- Create dashboards, reports, and visualizations that communicate complex financial insights in a clear and actionable manner.
- Support strategic initiatives such as fundraising, M&A analysis, pricing strategies, and cost optimization efforts.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Finance, Economics, Accounting, Engineering, or a related field; CFA/CA/MBA is a plus.
- 2–7 years of experience in financial modeling, corporate finance, investment banking, consulting, or related roles.
- Advanced proficiency in Excel and financial modeling techniques, including three-statement models, DCF analysis, and scenario modeling.
- Experience with AI/ML tools, Python, or financial analytics platforms to enhance modeling efficiency and insights.
- Strong expertise in operating models and cash flow forecasting methodologies.
- Proven ability to perform sensitivity analysis, build downside scenarios, and assess financial risk.
- Demonstrated capability to translate strategic initiatives into measurable financial outcomes.
- Strong analytical thinking, attention to detail, and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Preferred Qualifications:
- Experience working with large datasets and integrating structured/unstructured data into financial models.
- Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms.
- Exposure to startup or high-growth environments is advantageous.
What You’ll Gain:
- Opportunity to work at the intersection of finance, strategy, and AI innovation.
- High visibility with senior leadership and involvement in key strategic decisions.
- A collaborative environment focused on learning, growth, and impact.
Similar Jobs
Artificial Intelligence • Marketing Tech • Software
Build and own scalable backend systems for campaign creation, content assembly, audience targeting, scheduling, and delivery across multiple channels. Design fault-tolerant distributed services, ensure reliability through observability and alerting, and deliver features from architecture through production support. Collaborate cross-functionally, mentor junior engineers, and promote testing, code quality, and engineering best practices.
Top Skills:
DockerGithub ActionsGoogle Cloud PlatformGraphQLGrpcKafkaKubernetesPostgresPythonRabbitMQRestRuby
Information Technology
Leads executive-level cyber risk advisory engagements, including GRC assessments, audits, control implementations, privacy programs, AI governance, remediation planning, and security strategy development. Advises clients on regulatory, cloud, AI, third-party, and emerging cyber risks; creates executive deliverables and reusable methodologies; supports sales and practice growth; develops thought leadership; and mentors consulting teams.
Top Skills:
Ai GovernanceCis ControlsCloud SecurityCobitGrc PlatformsIso 27001Iso 27017Iso 27018Iso 42001ItilExcelMS OfficeMicrosoft OutlookMicrosoft PowerpointMicrosoft VisioMicrosoft WordNist CsfPci DssPrivacy Risk ManagementSoc
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead 24/7 incident response for commercial and regulated environments, monitoring security systems, correlating events, investigating threats, and coordinating incidents through closure. Perform digital forensics, threat hunting, malware analysis, vulnerability analysis, and post-incident reporting. Develop response playbooks and security standards, support audits and investigations, maintain secure configurations, integrate security solutions, and communicate complex incidents to executives and customers. Participate in after-hours and weekend on-call rotations.
Top Skills:
AWSAzureBashEdrGCPLinuxmacOSNessusPythonQualysServicenowSIEMSoarSplunkTcp/IpWindows
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
