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 .2–6 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.