Manager - Credit Risk Analytics - Bengaluru, India - Navi

Description

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 and 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, prioritizes 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, tech, business functions and CEO office to create data processes as the key differentiator for the company.

We believe in –

• Creating business impact by moving the key metrics across functions in the right direction
• Improving speed of decisions through data transformation and access
• Improving the quality of decisions with right visibility into business
• Solving complex problems using a structured data analysis and advanced analytics functions
• Being the owner of data (availability, quality, accessibility, usability) for the company
• Creating a culture of learning through experimentation

About the role :

Key responsibilities:

• Navi is launching first of its kind payments credit products to empower a large segment of Indians with payments credit access at scale.
• The role requires collaborating with the business team & partner banks to set up from scratch the credit risk management machinery and supporting data science & central risk teams.
• Work on various analytics models to understand user segments & user behavior, collaborate with bank partners on defining processes & framework for active portfolio management, credit risk monitoring, hindsighting & other processes, & be responsible for owning metrics for short term & long term credit risk for the portfolio across payments credit products.
• Ownership of various other metrics(exploratory analysis, automation, dashboarding, advanced analytics) for credit losses, portfolio quality as well as approval rates for the business, collaborating with business & product teams to balance growth & credit risk as per the target PnL
• Ruthlessly prioritize impactful work, scope them, track progress and set up high standard reviews SOPs
• Deliver continuous insights and recommendations for business/product improvements and communicate effectively to ensure implementation of recommendations aligned with the business/product
• Identify opportunities of advanced analytics projects like prediction, segmentation, optimization to come up with insights on customization for various customer groups
• Define metrics through the business processes for clear measurability and to deep-dive into processes to identify areas of improvements
• Work with internal (self serve, advanced analytics teams) and external (engineering & data platform team) to drive data availability, reliability and speed of data.
• Identify long-term opportunities and delivers them in a scalable fashion by implementing scalable processes in place and driving automation of repetitive tasks

Desired Candidate Profile :

Required Skills:

• Bachelor's degree in Technology/MBA with technical background
• 5+ years of experience on SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight etc)
• Prior experience of banking domain(Credit Risk) would be a plus and Decent understanding of underwriting process and delinquency.
• "High commitment" and "adaptive to change" to thrive in a startup environment
• Ability to identify relevant business problems to solve via data analytics and ability to interpret complex data sets
• Ability to influence decision makers across functions to implement change
• Proven Experience in handling stakeholders and multiple charters on need basis

Good to Have:

• Understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing etc)
• Prior data modeling experience in R/Python and some classification and/or regression techniques
• Understanding of data platforms and some knowledge ETL processes