AI Financial Analyst

Compensation: $80K - $150K per annum

Employment Type: Full Time

Start Date: Summer

Department: Data & Analytics

Job description:

Your Career

This is not a typical finance role. We are building a new team at the nexus of finance, data science, and artificial intelligence, and we are looking for the next generation of innovators to help architect our future. This role is designed for a rare talent who possesses both deep quantitative and computer science skills and a strong intuition for financial strategy.

Your Impact

• Pioneer AI Solutions: Design, develop, and deploy machine learning models to solve complex financial challenges, including revenue forecasting, investment optimization, and operational efficiency.
• Architect Financial Systems: Build and scale robust data and automation pipelines using Python and SQL to serve as the foundation for advanced analytics and business intelligence.
• Develop Predictive Models: Integrate internal business data, historical trends, and external market signals to create sophisticated forecasting models that inform compensation strategy, resource allocation, and long-range planning.
• Drive Strategy with Data: Translate complex models and quantitative analysis into clear, actionable insights. Build and maintain interactive dashboards (Tableau/Power BI) to communicate findings and KPIs to executive leadership in real-time.
• Ensure Analytical Rigor: Conduct ROI and cost-benefit analysis for major company initiatives, ensuring our financial strategy is aligned with measurable, data-driven outcomes.
• Uphold Data Integrity: Champion best practices in data governance to ensure the accuracy, reliability, and security of our financial data throughout the entire analytics lifecycle.

Qualifications

Your Experience:

• This is an entry-level position ideal for a recent graduate (Bachelor's or Master's) or an early-career professional with 1-3 years of relevant experience.

Required Qualifications:

• Bachelor's or Master's degree in a quantitative field such as Economics, Finance, or a related discipline.
• High proficiency in Python for data science (e.g., pandas, NumPy, scikit-learn) and SQL for complex data querying and manipulation.
• Demonstrated experience in applying machine learning concepts (e.g., regression, classification, time-series forecasting) to real-world problems through academic or professional projects.
• Experience creating impactful data visualizations and interactive dashboards using tools like Tableau, Power BI, or Looker.
• A strong foundation in financial concepts, statistical analysis, and predictive modeling.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications (Bonus Points):

• Creative application of modern AI tools (e.g., Gemini, NotebookLM, Glean) to accelerate the development of predictive financial models, automate variance analysis and reporting, and transform finance workflows from data ingestion to executive summary.
• Experience with cloud data platforms (e.g., GCP, AWS, Azure).
• Familiarity with financial planning & analysis (FP&A) processes or accounting principles.
• Knowledge of additional tools like R, Alteryx, or Excel (VBA, Power Query).
• Internship or project experience in a fast-paced, tech-driven environment.

Procedure: We are an HR consultancy firm, and we help candidates match with the potential roles by using an Artificial Intelligence System which is free of cost. If you meet the eligibility criteria, please apply and our recruitment team will help you understand your strengths and strategize your career ahead. We can let you know better once you submit your resume.