VP – Analytics, Modelling & Business Solutions

Role Highlights

• Lead design and delivery of advanced analytics, predictive modelling, and business insight frameworks for BFSI and Fintech clients.
• Partner with product and engineering teams to build scalable, data-driven systems.
• Translate analytical outcomes into commercial impact across acquisition, lending, fraud prevention, and customer retention.
• Guide a cross-functional team of data scientists, analysts, and product managers.
• Champion data strategy, governance, and best practices aligned with client needs and business growth.

Mandatory Sector Experience

• Candidates must have direct exposure in one or more of the following:
• Banking / NBFC / Insurance analytics or data-driven transformation.
• Fintech / Financial Services SaaS digital onboarding, KYC, fraud prevention, credit decisioning, or scoring.
• Enterprise SaaS platforms serving BFSI clients.
• Analytics / Consulting roles supporting financial institutions or FS products.

Technical Qualifications

• Degree: BE/B.Tech in Computer Science, Data Science, Engineering, or Statistics (mandatory).
• Postgraduate: Masters in a Quantitative / Analytics specialization.

Proficiency in:

• Languages: Python / R / SQL
• Techniques: Machine Learning models, statistical methods, predictive modelling
• BI Tools: Tableau / Power BI
• Cloud Platforms: AWS / Azure / GCP
• Ecosystem: Data pipelines, model deployment, API integrations

Ideal Candidate Profile

• 12-18 years experience in data science, analytics, or business modelling, preferably within BFSI / FinTech.
• Proven success in client-facing analytics delivery and measurable business impact (ROI).
• Experience in start-up or mid-scale environments, with agile execution capability.
• Exposure to system integration vs implementation in data-heavy ecosystems.
• Strong leadership ability to manage cross-functional analytics teams and senior stakeholder relationships.

Education