Quantitative Analyst

About this role

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Skills you'll use

What you'll do

• Build and backtest quantitative models on historical data
• Validate assumptions and document model limitations
• Automate data pulls and model runs
• Present results with confidence intervals, not point claims
• Support risk and compliance reviews of models
• Flag risks and blockers early rather than at the deadline
• Keep your tracker and status honest, including when something has slipped

Who can apply

• B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics) or MBA (Analytics) from a recognised university
• 0–2 years of relevant experience — internships, academic projects and personal work all count, and 2026 graduates are welcome
• Working knowledge of Python, Statistics, SQL
• Comfort with Python, SQL and market data systems, and the ability to pick up an unfamiliar tool without waiting to be taught it
• The judgement to know when a problem is yours to solve and when it needs escalating — and to escalate with the relevant detail attached.
• Attention to detail, ownership and the discipline to document your work
• Based in Mumbai, Maharashtra or willing to relocate

Perks & benefits

Interview & selection process

5 rounds — typical selection flow for this role:

1. 1Resume screening and profile shortlisting by the talent acquisition team
2. 2Team fit conversation with two or three future colleagues
3. 3Final discussion covering role expectations, compensation and start date
4. 4Application screening (CV and, where relevant, a portfolio or code sample)
5. 5HR discussion — compensation, notice period, joining date and offer roll-out

About Digitide

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