Posted:Invalid date| Platform:
Work from Office
Full Time
About Navi Navi is one of the fastest-growing financial services companies in India providing Personal Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navis mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences. Founders: Sachin Bansal Ankit Agarwal. Know what makes you a Navi_ite : 1. Perseverance, Passion and Commitment Passionate about Navis mission and vision Demonstrates dedication, perseverance and high ownership Goes above beyond by taking on additional responsibilities 2. Obsession with high quality results Consistently creates value for the customers and stakeholders through high-quality outcomes Ensuring excellence in all aspects of work Efficiently manages time, prioritises tasks and achieves higher standards 3. Resilience and Adaptability Adapts quickly to new roles, responsibilities and changing circumstances showing resilience and agility. Analytics @Navi : Navi Analytics is a central function working closely with product, business functions,and CEO office to create data processes as the key differentiator for the company. We believe in - Creating impact to the business Be the owner of data (quality, accessibility, usability) for the company Improve speed of decisions through data transformation and access Improve the quality of decisions with right visibility into business Solve complex problems using advanced analytics functions Create Drive culture of learning through experimentation Role : -Monitoring the delinquent account to ensure the achievement of Company standards -Evaluation of stability of underwriting models and identifying policy actions to be taken to either increase approval rates for business growth or reduce it for high risk segments -Develop and Maintain loss forecasting models and ECL provisioning required for accounting purpose -Set up right portfolio monitoring and early warning alerting system to keep a check on health of our loan book -Evaluate data required for decisions, identify sources of appropriate data, own up the sanity/accuracy of available data, ensure transformations for right decision making -Define metrics through the business processes for clear measurability and to deep-dive into processes to identify areas of improvements -Identify opportunities of improvement in product process flows through exploratory analysis and Driving customer segmentation to come up with insights on customization for various customer groups -Define analytical frameworks to gain insights on correlations/causality -Work with the engineering data platform team to drive data availability reliability. Desired Candidate Profile : -Experience in handling multiple stakeholders. -Startup mindset. -Team building skills -Experience on SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight etc) -Understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing etc) -Basic understanding of data platforms and ETL processes -Ability to identify relevant data to solve business problems and (in)validate hypothesis -(Good to have) Prior data modeling experience in R/Python and some classification and/or regression techniques -(Good to have) Prior experience / understanding of lending/insurance/banking domain would be a plus
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Pune, Mumbai, Bengaluru
INR 5.0 - 6.0 Lacs P.A.
Mumbai, Bengaluru, Gurgaon
INR 2.0 - 6.0 Lacs P.A.
Pune, Bengaluru, Mumbai (All Areas)
INR 12.0 - 22.0 Lacs P.A.
Greater Noida, Bengaluru
INR 3.0 - 6.0 Lacs P.A.
Chennai, Pune, Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata
INR 19.0 - 21.0 Lacs P.A.
Chennai, Pune, Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata
INR 25.0 - 30.0 Lacs P.A.
INR 9.0 - 14.0 Lacs P.A.
Mumbai Suburbs, Navi Mumbai, Mumbai
INR 5.0 - 15.0 Lacs P.A.
Bengaluru, Gurgaon
INR 12.0 - 20.0 Lacs P.A.
Chennai, Pune, Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata
INR 8.0 - 12.0 Lacs P.A.