Associate Manager II - Analytics (Credit Risk)

About Navi
Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's 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 Navi's mission and vision
• Demonstrates dedication, perseverance and high ownership
• Goes above & beyond by taking on additional responsibilities 

• 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 

• 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