Associate Vice President - Data

Mobikwik is India's leading Digital Financial Services platform & Largest Digital Wallet, trusted by over 167 million users & 4.4 million businesses. As a pioneer in the Fintech space, Mobikwik empowers its users with a robust suite of services, including Digital payments, Credit & Investments. Recently, Mobikwik achieved a significant milestone with its Initial Public Offering (IPO), marking a new chapter in its journey of innovation & growth. With a mission to democratize financial inclusion, Mobikwik continues to transform how Indians manage their money, offering secure, seamless & user-friendly solutions that cater to a diverse range of financial needs.

Job Title : Associate Vice President – Data

Location : Gurgaon

About the Role :

Mobikwik is seeking a senior leader to join as AVP – Data (Data Analytics & Data Science). The role involves ownership of both Data Analytics and Data Science functions in the Central Team, with a span of approximately 20+ people. The person in this role will enable Payments, Lending, and Wealth verticals to make data‑driven decisions, build predictive and self‑improving models, and drive AI capability building across the organization.

Key Responsibilities :

• Lead and manage a team of data analysts, data scientists, ML engineers, and BI specialists (20+ members).
• Define and execute analytics strategy to support business verticals : Payments, Lending, Wealth.
• Develop and deploy predictive algorithms and models for credit risk, fraud detection, customer lifetime value, propensity, churn, personalization, pricing, etc.
• Implement frameworks for continuous learning / model retraining using live / trainable datasets, feedback loops, and model monitoring.
• Oversee data pipelines, feature engineering, data ingestion, storage, processing and ensure data quality, governance, security, and privacy compliance.
• Collaborate closely with vertical heads (Payments, Lending, Wealth) and senior leadership to translate business problems into data / AI solutions.
• Build internal AI / ML capabilities : MLOps infrastructure, model versioning, drift detection, experimentation, real‑time inference where required.
• Lead innovation in AI use cases (e.g. smart assistants, GenAI applications, recommender systems, anomaly detection) to improve user experience and operational efficiency.
• Provide insights and reporting to drive key business metrics : growth, margins, risk, retention, monetization.

Required Qualifications :

Why Mobikwik

Skills Required

Machine Learning, Hadoop, Sql, Analytics, Tensorflow, Data Science, Pytorch, MLops, Spark, Python