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.