About the Job:
We're looking for young, energetic, and curious minds who love to experiment with data, AI, and finance! AI Developer Data Science & Analytics who loves building intelligent tools that power financial insights.
If you have hands-on experience, a flair for experimentation, and an understanding of financial products or investments, this role is designed for you.
Whether you've built small projects, invested personally, or worked with digital platforms your initiative and curiosity will matter more than titles.
You'll join our Product & Research (Data Science) team to design, develop, and maintain data-driven, AI-led solutions that empower decision-making across portfolios, research, and wealth management.
Key Responsibilities:
- Build and enhance portfolio analytics tools for wealth and investment management.
- Develop Python-based scripts, APIs, and pipelines for real-time and historical financial data.
- Design portfolio optimization models leveraging machine learning and quantitative techniques.
- Create dashboards and data visualization layers for client and DP portfolio analysis.
- Integrate AI and LLM tools (ChatGPT, LangChain, custom models) for automation and advanced insights.
- Work closely with digital, product, and research teams be a strong team player contributing to shared goals.
- Ensure data quality, documentation, and model governance for all analytical systems.
Required Skills & Experience:
- Bachelor's or Master's in Quantitative Finance, Data Science, Computer Science, or Statistics.
- 26 years of experience in data analytics, quantitative modeling, or financial data platforms.
- Proficiency in Python (NumPy, Pandas, Scikit-learn, PyPortfolioOpt, FastAPI).
- Experience with AI/LLM integration (ChatGPT, LangChain, OpenAI API) is a strong plus.
- Knowledge of financial instruments, PMS/AIF portfolios, capital markets, or wealth products.
- Exposure to digital platforms or investment analytics tools is preferred.
- Strong problem-solving mindset, with patience, discipline, commitment, and joy of achieving as core soft skills.
- Freshers with strong analytical projects or financial domain exposure will also be considered.
