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Saying Yes More: How GM Financial, Yapstone, and Insikt use Risk Analytics and Decisioning to Drive Business Growth

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Saying Yes More:
How GM Financial, Yapstone, and Insikt use Risk Analytics and Decisioning to Drive Business Growth

Provenir clients GM Financial, YapStone, and Insikt talk risk decisioning over on AmericanBanker.com today. The article delves into their risk decisioning processes and uncovers how robust risk analytics allow them to ‘say yes more’.

“To the outside world, loan decisions and payment approvals can seem like a simple yes or no decision: either the application is approved or it’s declined. However, the most successful financial services organizations know that determining a yes, no, or even maybe response requires a robust decisioning process that not only protects all parties, but also drives an organization towards its goals.

In today’s tech savvy world risk decisioning has become an artform that has the power to make or break a financial services organization in a number of ways, from its impact on user experience, to the risks it exposes the business to or protects it from. Businesses who embrace this new risk management artform are developing sophisticated risk decisioning processes that incorporate more than the traditional credit scores we all love to hate.

It’s no secret that digitization has created huge disruption within the financial services industry, replacing traditionally paper-based processes with tech-powered automated systems that make it possible to process loan applications and make payments instantly. But this ‘instant gratification’ culture has also created new opportunities for fraud and increased threats that have the potential to outsmart traditional risk decisioning processes that don’t keep up with the evolving risk landscape.

So how can businesses use risk decisioning not just as a form of protection but also as an opportunity to innovate and grow? GM Financial, Yapstone, and Insikt are three examples of organizations that are using strategic tech partnerships to create sophisticated risk decisioning processes that secure their positions as industry leaders.”

Read the full article at AmericanBanker.com to learn more about how these three innovative businesses are using smarter risk decisioning to drive business growth, expand market opportunities, and improve the consumer experience.

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Veejay Jadhaw Named Chief Technology Officer

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Veejay Jadhaw
Named Chief Technology Officer

We are pleased to announce that Veejay Jadhaw has been named Provenir’s Chief Technology Officer. Veejay was most recently CTO and Head of Digital Innovation at Finastra, the world’s third largest fintech company. Prior to Finastra Veejay held significant roles with SAP and Microsoft. Veejay brings strong technical knowledge and outstanding leadership skills. He will be based in Parsippany, Provenir’s HQ.

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Provenir Extends Its Platform to Support Python

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Provenir Extends Its Platform to Support Python

Pre-integration with the powerful programming language will make it even easier to operationalize complex credit risk models – with added artificial intelligence (AI).

New York, NY –  Date February 2018 – Provenir has expanded its risk analytics and decisioning platform to support the increasingly popular programming language Python. The platform’s new pre-built connectivity with Python will ultimately help data scientists and risk professionals create more sophisticated statistical models at higher speeds – using AI to drive faster, more reliable credit risk decisions.

Python is a powerful, interpretive language based on open source software, with access to an ever-widening range of algorithms and data libraries. Its speed, flexibility, stability and ease of integration with almost any information source have made it today’s go-to tool for data scientists. And because it works so well with AI, Python enables you to build self-sufficient models that process historical data, bringing new levels of machine learning to risk decisioning.

“Our platform’s pre-integration with Python opens exciting new possibilities for developing and operationalizing credit risk models,” says Paul Thomas, Managing Director at Provenir. “In the lending space, non-linear models with a greater number and variety of data variables can gain a more accurate picture of prospective customers – and potentially reach new demographics without increasing credit risk. When accessed through Provenir, Python’s power, flexibility and AI capabilities will help providers bring such complex risk analytics to market more quickly.”

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Provenir Partners in Japan

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Provenir Partners in Japan

Provenir has recently signed a partnership agreement with the Global Winning Technology Corporation to target Japan for its risk analytics and decisioning technology. GWT was started to address the critical need for progress for financial companies in Japan.

Yukio Sakamoto, President and Founder of GWT, sits down with Provenir’s Paul Thomas in this inclusive one-on-one interview to talk about the state of Japan’s financial industry. 

 GWT | Provenir

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Provenir Moves to New Technology Center in Parsippany, New Jersey

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Provenir Moves to New Technology Center in Parsippany, New Jersey

I Love Technology, But Not As Much As You, You See

Provenir moves to a new technology center in Parsippany, NJ. The new space provides an updated aesthetic and a collaborative environment for its growing team.

Technology Center

Morris Corporate Center 2
1 Upper Pond Road, Bldg F – 4th Fl
Parsippany, New Jersey 07054
+1 (973) 316-8680

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A Heartfelt Breakup Letter to Excel BI Tools

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A Heartfelt Breakup Letter to Excel BI Tools

Dear Excel BI tools,

Despite what I’m about to say, I genuinely love everything about you, from conditional formatting to pivot tables, to Power View. You have so many great features.

But… I think we should see other people.

Read the full article on Capterra’s Business Intelligence Blog

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How a Norwegian Virtual Bank is Using Machine Learning

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How a Norwegian Virtual Bank is Using Machine Learning

A Norway-based digital bank is using a machine-learning platform to allow for immediate decisions on loan eligibility.

Provenir, the platform Instabank uses, is deployed by banks and finance companies around the world, some of which have incorporated social media data in determining loan eligibility criteria.

Read the full article on Tearsheet.com

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Chris Barber Named Director of Professional Services, EMEA

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Chris Barber Named Director of Professional Services, EMEA

We are pleased to announce that Chris Barber has been named Provenir’s Director of Professional Services, EMEA. Chris has been with Provenir for 3 years, during which Provenir has seen electrifying growth in the EMEA region. His new role will support department expansion due to the increased volume of new client on-boarding.

About Chris Barber

Chris Barber is Director of Professional Services covering the EMEA region at Provenir. Previously, he was a Senior Project Manager with Provenir and before this spent his career in investment banking and asset management. Chris worked for Morgan Stanley for 8 years as a business analyst partnering with the equity sales and trading businesses. He then worked at Schroder Investment Management as a business analyst on a strategic re-platforming implementation. Later, he spent nearly 8 years at JPMorgan within Global Investment Banking Technology as a business analyst, project manager and programme manager covering the equity, bond and syndicated loan origination capital markets, mergers & acquisitions as well as corporate banking and commercial banking businesses.

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Dun & Bradstreet CEO Talks Strategy with Provenir

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Dun & Bradstreet CEO Talks Strategy with Provenir

Magnus Silfverberg, CEO of Dun & Bradstreet, talks strategy in this inspiring one-on-one interview with Provenir’s Adi Bachar-Reske.

Becoming the most wanted data and analytics firm across an entire continent is not an easy feat. Read the full interview to learn Magnus Silfverberg’s approach and his vision for the future of data and analytics in Europe.

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Provenir Unveils Amazon Machine Learning Adapter

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Provenir Unveils Amazon Machine Learning Adapter

New Provenir Adapter adds Machine Learning to the risk analytics and decisioning toolkit for faster credit and risk decisions

New Jersey, US – 20 March 2017Provenir, provider of risk analytics and decisioning solutions, today unveiled the new Provenir Adapter for Amazon Machine Learning for financial institutions seeking to add machine learning to their toolkit without the time and resources typically associated with development. The latest in Provenir’s suite of adapters automatically feeds the predictive score returned by the Amazon Machine Learning model into the risk decisioning process. The Provenir Platform then automates that process, instantly executing a pass, fail or refer result from a risk score.

Provenir Adapter Makes Machine Learning More Accessible to Lenders
“While Machine Learning has massive implications in financial services, few organisations are able to dedicate full time resources to the development of homegrown machine learning capabilities” said Larry Smith, CEO and Founder, Provenir. “The Provenir Adapter for Amazon Machine Learning makes machine learning accessible to those companies who are focused on their core businesses by eliminating the need for a dedicated expert.”

Inexperienced Developer Deploys ML Model in Less Than 20 Minutes
Smith shared an example. “With no experience in machine learning, one developer on our team was able to build and deploy a machine learning model in less than 20 minutes, operationalizing that model in the Provenir Platform in just hours. Historically, that would have taken a team of people a month to achieve.”

Visually Configurable, Real-Time, Risk Analytics
To meet customer expectations of speed, efficiency and cost, financial service providers need risk management solutions that are visual and intuitive, don’t require coding expertise or development skills to update, and are flexible enough to adapt in changing situations. This integration pairs Provenir’s visually configurable risk platform with Amazon Machine Learning for real-time, user-friendly, risk analytics and decisioning.

About Provenir
Provenir makes risk analytics faster and simpler for financial institutions. The Provenir risk analytics and decisioning platform is a powerful orchestration hub that can listen to any channel, integrate with any data service and operationalize any analytic model. Helping clients process more applications with greater efficiency and increase sales conversions with instant, real-time risk decisioning, Provenir serves clients across a broad range of financial verticals including consumer, cards, payments, ecommerce and auto financing. Provenir is headquartered in Parsippany, New Jersey with EMEA operations based in England and APAC operations in Singapore. For more information please visit www.provenir.com.  

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