Job Description

what is CRED

CRED is an exclusive community for India's most trustworthy and creditworthy individuals, where the members are rewarded for good financial behavior.

CRED was born out of a need to bring back the focus on a long lost virtue, one of trust, the idea being to create a community centered around this virtue. a community that constantly strives to become more virtuous in this regard till they finally scale their behavior to create a utopia where being trustworthy is the norm and not the exception. to build a community like this requires a community of its own; a community special in its own way, working towards making this vision come true.

here's a thought experiment: what do you get when you put a group of incredibly passionate and driven people and entrust them with the complete freedom to chase down their goals in a completely uninhibited manner
answer: you get something close to what we have at CRED; CRED just has it better.

here's what will be in store for you at CRED once you join the team

what will you do

+ analyze user behavior, risk profiles, and funnel drop-offs to figure underwriting gaps develop model to optimise conversions + be the single source of data intelligence for insurance partners to improve on pricing & coverage
+ collaborate with insurer partners to co-develop underwriting models to optimise insurance coverage & pricing for users
+ create cohort level pricing recommendations, design & launch experiments to evolve into a full fledged underwriting model
+ evaluate alternate data sources (e.g. digital behavior, credit, lifestyle) within CRED or outside of CRED for new pricing levers
+ work cross-functionally with product, tech, and data teams to translate risk logic into product features

you should apply if you have :

+ 2-6 years of experience in insurance underwriting (preferably motor insurance) + knowledge of pricing and actuarial fundamentals
+ proficient in analytics tools like excel, sql
+ familiar with insurance products
+ ability to work with multiple stakeholders - engg, product, data teamshave an eye for detail and can multi-task effectively in a demanding environment