About mPokket

mPokket is rapidly growing and well funded fintech startup in the lending domain. We currently provide instant micro loans to college students in India over a mobile app. Our technology architecture and processes allow us to seamlessly onboard users, assess risk, and disburse and collect funds without any physical interface with our customers.

Responsibilities

As a Data Analytics, you will work with our Credit and Analytics Team & key stakeholders to leverage our data to drive operational efficiencies and provide key data-driven insights.

• Performing descriptive, predictive and prescriptive analytics
• Generating actionable insights through analysis of key metrics across functions
• Identifying the root cause through deep analysis of data to reach a point where actionable solutions can be designed
• Devising mechanisms for control, performance monitoring, and reporting to internal stakeholders
• Assist in investigating and drafting cost / benefit analysis and business requirements showcasing potential solutions for business initiatives
• Working cross-functionally with business teams to ensure development and implementation of programs as per requirements & timelines

Requirements

• Bachelor’s degree in Business, Engineering or a related field
• 3-5 years of professional experience in consulting, analytics, business analysis or comparable consumer analytics position
• Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau, PowerBI, Quicksight, Google Data Studio
• Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel.
• Programming languages: Python, R
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills
• Ability to deal with ambiguity and competing objectives in a fast paced environment
• Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner

Preferred Qualifications

• Advanced technical or business degree (MS or MBA)
• Familiarity to Hadoop Mapreduce, Hive, Spark

• Experience of leading/developing ML-AI models in production.