Quantitative Research Analyst

Quantitative Research Analyst

A high-growth, VC-backed SaaS company hiring its founding India quant team Location: Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad — or Remote (India)

About the Company A high-growth, venture-backed SaaS company is building its India quantitative research team and has partnered with Flexiple to hire. You will build the models and methods that turn data into a real edge. Flexiple is a managed marketplace that helps global companies build high-performing teams and GCCs in India.

Role Overview As a Quantitative Research Analyst, you will design and test models on large datasets, building statistical and analytical methods that drive product and decision quality.

Key Responsibilities Modelling & Statistics

• Build, test, and validate statistical and predictive models
• Design experiments and run rigorous quantitative analysis
• Work with large datasets to extract reliable signal

Research & Delivery

• Document methods, assumptions, and results clearly
• Partner with product and engineering to put models into use

Ideal Candidate Profile

• 1 to 5 years in quantitative research, data science, or analytics
• Strong statistics plus hands-on Python or R
• Working knowledge of SQL and large-data handling
• Clear written and spoken English and a reliable remote-work setup

Preferred Qualifications

• A postgraduate degree in statistics, mathematics, or a quantitative field
• Exposure to machine-learning methods and libraries
• Experience in a SaaS, fintech, or high-growth environment

What We Offer

• A founding quant-research seat with a high-growth SaaS company
• Remote-friendly, pan-India hiring with long-term placement
• High ownership and direct impact on the product
• One application considered for this and future matched roles

Hiring Process HR Screening → Assignment → Leadership Round 1 → Leadership Round 2 → Culture Fit

Applications are being reviewed this week. Apply today to be included in the first round of interviews. We are shortlisting candidates within 24–48 hours — apply now to be considered.

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