Autonomous CFO - BC-916
Project type: ResearchDesired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences
Company: Fiscal Eye
Project Length: 6 months to 1 year
Preferred start date: As soon as possible.
Language requirement: English
Location(s): Vancouver / Remote, BC, Canada
No. of positions: 2
Desired education level: PhD
Open to applicants registered at an institution outside of Canada: No
About the company:
Fiscal Eye is a leading innovator in the application of artificial intelligence (AI) into the field of accounting. At Fiscal Eye, we believe that every business, regardless of size, deserves expert CFO guidance focused on strategic growth and financial health. That's why we created the Autonomous CFO.
Describe the project.:
Project Overview
The project at Fiscal Eye focuses on advancing the development of the Autonomous CFO, an AI-driven tool designed to automate and optimize accounting tasks for small and medium-sized enterprises (SMEs). The project integrates machine learning (ML) and Large Language Models (LLMs) to enhance financial management, anomaly detection, compliance monitoring, and decision-making processes. This initiative aims to empower financial professionals by leveraging AI to handle complex tasks with greater efficiency, accuracy, and compliance.
End Goal/Intended Outcome
The ultimate goal of this project is to develop a fully functional Autonomous CFO product that can:
- Convert business rules from natural language to formal expressions.
- Detect anomalies in financial records to prevent errors and fraud.
- Ensure continuous compliance with Canada Revenue Agency (CRA) regulations.
- Provide actionable insights to optimize financial operations and decision-making.
Intern's Tasks
The intern will contribute to critical areas of the project, including:
- Developing AI models for converting business rules into formal expressions that can be processed by the Autonomous CFO system.
- Creating and fine-tuning ML models for anomaly detection in financial data, such as identifying duplicate entries or transactions that exceed specified thresholds.
- Implementing AI models for monitoring and ensuring real-time compliance with CRA regulations, flagging potential issues for proactive resolution.
Research Focus
Near-Term Focus
- Convert Business Rules: Develop AI to translate business rules into formal instructions.
- Detect Anomalies: Create models to find errors and fraud in financial data.
- Ensure Compliance: Use AI for real-time tax compliance monitoring.
Long-Term Focus
- Market Analysis: Compare financial performance to industry benchmarks.
- Risk Assessment: Identify and mitigate financial risks.
- Expense Optimization: Find cost-saving opportunities in company expenses.
Research
Near-Term Focus
- Convert Business Rules: Develop AI to translate business rules into formal instructions.
- Detect Anomalies: Create models to find errors and fraud in financial data.
- Ensure Compliance: Use AI for real-time tax compliance monitoring.
Long-Term Focus
- Market Analysis: Compare financial performance to industry benchmarks.
- Risk Assessment: Identify and mitigate financial risks.
- Expense Optimization: Find cost-saving opportunities in company expenses.
Type of Innovation
This is a product innovation project, aiming to push the boundaries of AI integration in accounting by adding advanced, AI-driven features to the Autonomous CFO product.
Research Methodology
The research will involve:
- Data Collection and Preparation: Gathering and preprocessing financial data, including transaction records and compliance documents.
- Model Development and Training: Using supervised and unsupervised learning techniques to train ML models and fine-tune LLMs.
- Model Evaluation: Assessing models based on accuracy, precision, recall, and F1 score to ensure reliability in real-world scenarios.
- Pilot Deployment and Scaling: Testing the AI features with a select group of clients before scaling to a broader user base.
This project will significantly enhance Fiscal Eye's product offering and contribute to the broader field of AI in accounting.
Required expertise/skills:
We are seeking an intern with a background in Computer Science, Engineering, or Data Science with a strong focus on machine learning and natural language processing. The ideal candidate should have experience working with Large Language Models (LLMs)and anomaly detection techniques.
Key skills include:
- AI model development and fine-tuning
- Data preprocessing and feature engineering
- Experience with financial datasets(a plus)
- Knowledge of accounting principles(an asset)
Optional assets include experience in tax compliance, understanding of Canada Revenue Agency (CRA) regulations, and cloud computing platforms.
The intern should be capable of working independently, with strong problem-solving skills, and a keen interest in applying AI to real-world financial challenges. This position offers the opportunity to work on cutting-edge AI applications in the accounting industry, contributing to innovative product development at Fiscal Eye.
