VP - Analytics - Data Services/AI

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: Master's 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."