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 Delhi, Delhi 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. 2Technical or practical round based on the day-to-day work of the role
3. 3Take-home exercise or live problem-solving discussion
4. 4Discussion with the hiring manager on how you approach problems and work with others
5. 5HR discussion — compensation, notice period, joining date and offer roll-out

About Droisys

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