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Data Mining Executive

salary Salary :

₹40,000 monthly

Job Description - Data Mining Executive

Job Description | Data Mining Executive -MENA Process


Who are we?


In March 2022, we became India’s fastest fintech and most impactful start-up to join the unicorn club with a Series B fundraising round of $137 million.

We already have all the top Banks and NBFCs as our clients. We have offices in Mumbai, Chennai, Bangalore and Dubai. We plan to expand our business across the EU, USA and SE Asia over the next couple of years.


Job Title – Data Mining Executive-MENA Process

Reports to – Team Leader.

Location: Airoli – Navi Mumbai.


Responsibilities:

  • Managing and working within large data sets

  • Executing research on standardized and customized data sets for clients

  • To provide updates on the progress of the research

  • Data Scrubbing  


Want to know more about spocto and its culture?

In this Company, not only are we understanding about customers and the importance of repayment, but we are the first movers when it comes to introducing cutting edge technology to this industry. We have products and features specifically built to help our clients improve their collections efficiency, enhance customer experience and most importantly, bringing perfect compliance in their operations.

Our products:

SMARTRank - An Early Warning System that highlights ‘Value-at-risk’ within portfolio


KisanPay - An Agri initiative by spocto to bring farmers mainstream through education, context, and the power of linguistics

Bhaasa - A powerful AI conversational bot that is packed with all major languages across 100+ dialects

In Feb 2022, spocto was acquired by Yubi (formerly known as CredAvenue).

About Yubi:

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the worlds possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India’s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.

Yubi Loans – Term loans and working capital solutions for enterprises.

Yubi Invest – Bond issuance and investments for institutional and retail participants

Yubi Pool– End-to-end securitisations and portfolio buyouts.

Yubi Flow – A supply chain platform that offers trade financing solutions.

Yubi Co.Lend – For banks and NBFCs for co-lending partnerships.


Currently, we have onboarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets.

Come, join the club to be a part of our epic growth story.


LinkedIn Link – https://www.linkedin.com/company/spocto/

Instagram Link  (Do follow, like and share) – https://www.instagram.com/spocto.global/

Gulf News –  Indian fintech spocto wants to make it easier for UAE banks to lend

https://gulfnews.com/business/banking/indian-fintech-spocto-wants-to-make-it-easier-for-uae-banks-to-lend-1.1664955501878

Khaleej Times - https://www.khaleejtimes.com/business/indias-fintech-unicorn-yubi-makes-uae-debut

Forbes - https://www.forbesindia.com/article/take-one-big-story-of-the-day/how-spocto-is-making-collecting-on-loans-quicker-and-more-efficient/80351/1



Requirements

Preferred candidate profile: -

  • Should be familiar with working on Excel or Google spreadsheets.

  • Good Communication skills 

  • Experienced into Data Mining, Data Scrubbing, Large data sets etc.



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