About Company:

Our client is one of India’s leading investment banks and a market leader in mobilizing resources for IPOs. With a strong network of over 5,000 dedicated franchisees, it contributes to approximately 25% of the total funds raised in the Indian equity markets. In addition, the firm offers comprehensive M&A and corporate advisory services to companies and institutions.

An Ideal Candidate:

We are looking for candidates with strong expertise in Machine Learning, Data Science, or Quantitative Engineering, preferably from premier institutions and with a background in reputed product-based organizations.

Key Competencies:

Data & Analytical Thinking:

•Strong problem-solving ability with a data-first mindset

•Ability to extract insights from historical datasets (pattern recognition, anomaly detection, performance analysis)

•Comfortable working with messy, real-world data

Engineering & Build Capability:

•Able to build end-to-end systems (data ingestion → modeling → output tools)

•Experience developing internal tools, dashboards, or APIs

•Familiarity with cloud environments (AWS/GCP) is preferred

•Domain Preference (Important but not mandatory)

•Prior experience in finance, trading, fintech, or quantitative roles is highly preferred OR Demonstrated interest in financial markets with the ability to quickly ramp up

Candidate Traits:

•Builder mindset (not purely academic or research-oriented)

•Pragmatic and outcome-driven

•Curious, independent thinker who can translate ambiguous problems into structured solutions