Artificial Intelligence Engineer

About the Job:

young, energetic, and curious minds

hands-on experience

Whether you’ve built small projects, invested personally, or worked with digital platforms — your initiative and curiosity will matter more than titles.

Product & Research (Data Science)

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.