Artificial Intelligence Engineer

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.

Apply Now