Python Developer for Financial Simulation Tool
Budget: ₹1,500 – ₹12,500 INR
I am looking for a part-time Python developer to build a dynamic financial simulation and data visualization tool. We are currently in a strategic planning phase where we need to model various **exit scenarios** and calculate **profit potential** based on fluctuating market variables.
The goal is to move from "uncertain claims" to "data-driven probabilities."
### **Key Responsibilities / Scope of Work**
* **Dynamic Modeling:** Create a Python-based simulation engine that accepts multiple inputs (revenue growth, operational costs, market multiples) to project ROI.
* **Exit Scenario Analysis:** Build logic to test different exit criteria (e.g., acquisition at Year 3 vs. Year 5) and their impact on terminal value.
* **Data Integration:** Fetch and process market benchmark data via APIs or web scraping to keep valuation multiples realistic.
* **Visualization:** Develop a lightweight dashboard (using **Streamlit** or **Dash**) to visualize "Best Case," "Base Case," and "Worst Case" profit scenarios.
* **Documentation:** Ensure the code is modular and well-documented so it can be updated as our strategy evolves.
### **Required Skills**
* **Core Python:** Expert-level proficiency in Python 3.x.
* **Data Libraries:** Strong experience with **Pandas** and **NumPy** for numerical modeling.
* **Visualization:** Experience with **Matplotlib**, **Plotly**, or **Seaborn**.
* **Financial Literacy:** Basic understanding of business metrics (EBITDA, ROI, Valuation Multiples) is a huge plus.
* **Reliability:** Ability to work **10–15 hours per week** with consistent communication.
* **Duration:** Ongoing, part-time (initially 1 month with potential for long-term collaboration).
* **Location:** Remote (India-based preferred for timezone alignment, but open to global).
The goal is to move from "uncertain claims" to "data-driven probabilities."
### **Key Responsibilities / Scope of Work**
* **Dynamic Modeling:** Create a Python-based simulation engine that accepts multiple inputs (revenue growth, operational costs, market multiples) to project ROI.
* **Exit Scenario Analysis:** Build logic to test different exit criteria (e.g., acquisition at Year 3 vs. Year 5) and their impact on terminal value.
* **Data Integration:** Fetch and process market benchmark data via APIs or web scraping to keep valuation multiples realistic.
* **Visualization:** Develop a lightweight dashboard (using **Streamlit** or **Dash**) to visualize "Best Case," "Base Case," and "Worst Case" profit scenarios.
* **Documentation:** Ensure the code is modular and well-documented so it can be updated as our strategy evolves.
### **Required Skills**
* **Core Python:** Expert-level proficiency in Python 3.x.
* **Data Libraries:** Strong experience with **Pandas** and **NumPy** for numerical modeling.
* **Visualization:** Experience with **Matplotlib**, **Plotly**, or **Seaborn**.
* **Financial Literacy:** Basic understanding of business metrics (EBITDA, ROI, Valuation Multiples) is a huge plus.
* **Reliability:** Ability to work **10–15 hours per week** with consistent communication.
* **Duration:** Ongoing, part-time (initially 1 month with potential for long-term collaboration).
* **Location:** Remote (India-based preferred for timezone alignment, but open to global).