Loading...

{{notif_text}}

Last chance to connect with exciting companies hiring right now - Register now!|L I V E{{days_remaining}} days {{hours_remaining}} hours left!
Mumbai, Chennai
1 - 3 years
{{::renderSalaryString({min: 300000, max: 500000, duration: '', currency: 'INR', equity: false})}}

Skills

Data Science
R Programming
Python

Job description

The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.

About Monexo FinTech (P) Ltd

Monexo is an Reserve Bank of India approved Peer-to-Peer (P2P) Lending marketplace. P2P lending is democratizing finance. 

 

We are driving 'credit inclusion' through paperless onboarding of young working class earning between 15,000 to 30,000 per month with Data Science.

 

Being a marketplace model - we have lenders who are diversifying beyond Saving Account, Fixed Deposits and Mutual Funds to earn a better yield on their savings.

 

We are part of the India FinTech industry and invite you to be part of this revolution.

Founded

2016

Type

Products & Services

Size

6-50 employees

Stage

Raised funding
View company

Why apply to jobs via CutShort

No long forms
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Discover employers in your network
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Make your network count
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
{{2101133 | number}}
Matches delivered
{{3712187 | number}}
Network size
{{6212 | number}}
Companies hiring

Similar jobs

{{job.headline}}

Founded {{job.companyid.founded}}
Products and services{{j_company_types[job.companyid.type - 1]}}
{{j_company_sizes[job.companyid.size - 1]}} employees
{{j_company_stages[job.companyid.funding - 1]}}
{{rendered_skills_map[skill] || skill}}
Location icon
{{job.remoteType == "remote_only" ? "Remote only" : (job.remoteType == "remote_okay" ? "Remote, " : "")}}{{job.remoteType == "remote_only" ? "" : job.locations.joinWithGrammar()}}
Experience icon
{{(job.expRange.minVanity == undefined ? job.expRange.min : job.expRange.minVanity)}} - {{(job.expRange.maxVanity == undefined ? job.expRange.max : job.expRange.maxVanity)}} years
Salary icon
Best in industry{{renderSalaryString({min: (job.salaryRange.userMinVanity == undefined ? job.salaryRange.userMin : job.salaryRange.userMinVanity), max: (job.salaryRange.userMaxVanity == undefined ? job.salaryRange.userMax : job.salaryRange.userMaxVanity), duration: job.salaryRange.duration, currency: job.salaryRange.currency, equity: job.equityRange})}}

{{job.comment}}

Job posted by
apply for job
apply for job
{{job.createdBy.name}} picture
{{job.createdBy.name}}
Job posted by
{{job.createdBy.name}} picture
{{job.createdBy.name}}
Apply for job
apply for job
Did not find a job you were looking for?
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on CutShort.
Want to apply for this role at Monexo FinTech (P) Ltd?
Hiring team responds within a day
apply for this job
Why apply via CutShort?
Connect with actual hiring teams and get their fast response. No spam.
File upload not supportedAudio recording not supported
This browser does not support file upload. Please follow the instructions to upload your resume.This browser does not support audio recording. Please follow the instructions to record audio.
  1. Click on the 3 dots
  2. Click on "Copy link"
  3. Open Google Chrome (or any other browser) and enter the copied link in the URL bar
Done