Sarah Kok

Sarah Kok
An experienced project manager, communications specialist and sustainability strategist; passionate about FinTech and the future of finance.
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Recent Posts

What can you do with Big Data?

Aug 7, 2019 / by Sarah Kok

There is an unbelievable amount of data in the world. Moreover, it just keeps growing and growing: according to Domo, 2.5 quintillion bytes of data are created every single day. That’s 25, followed by 17 zeros. Alternatively, 2.5 billion billion bytes. It’s a lot!

It’s hard to articulate just how much data there is in the world. That’s where the term Big Data comes from - the exponential growth and availability of large data sets. Even more broadly, the term Big Data also encompasses the speed with which the data is created, and it’s inherent complexity due to its sheer volume. Photos, internet searches, credit card transactions, emails. Data comes at us from all angles, all the time.

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Topics: AI/ML, Alternative Credit Scoring, Credit Risk Management

Empowering Credit Risk Professionals Since 2010!

Jun 18, 2019 / by Sarah Kok

 

As part of our mission to augment the skill set of credit risk managers everywhere, we are stoked to launch a new educational platform. The Risk Rollers platform aims to spread knowledge and a deeper understanding of the credit risk management industry.

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Topics: Instantor News, Financial Inclusion/Social Good, Credit Risk Management

How Algorithmic Bias can Creep into Machine Learning

May 1, 2019 / by Sarah Kok

Machine learning has been an incredible breakthrough in the past quarter-century. From diagnostic decisions in hospitals to loan approvals in banking, the conclusions made by machine learning algorithms have key implications on our personal lives, allowing us to process larger quantities of data faster than ever before.

While machine learning and associated artificial intelligence inarguably provide many benefits, unfortunately, they are also prone to error through biases, just like humans. Once we understand how algorithms are designed, we realise that these algorithms that we place so much trust in will sometimes get things wrong.

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Topics: Lending, Credit Scoring, AI/ML, Financial Inclusion/Social Good

The New Currency For Financial Organisations

Apr 24, 2019 / by Sarah Kok

Trust and finance are intrinsically related. Recent changes in legislation around data protection along with scandals in the media around how data is used is making the question of trust in the financial services sphere more relevant than ever, sparking questions such as: "how is data used?" and "how well is it processed?". Moreover, what is the relationship between consumers and financial institutions in 2019?

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Topics: Instantor News, Onboarding, Digitalisation, Credit Risk Management

Women In FinTech

Mar 28, 2019 / by Sarah Kok

Sweden is the famous home to several infamous tech giants and unicorns such as iZettle, Bambora and Spotify. It is also very well known for ranking very highly when it comes to gender equality. Yet, for some reason, there is a mismatch between these two facts and in fields such as FinTech women are still greatly under-represented. A 2018 FinTech report by Stockholm School of Economics found only 38% of employees in the FinTech sector in Stockholm are women. 

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Topics: Instantor News

Why Transactional Data is the Best Data Source for Income Verification

Jan 31, 2019 / by Sarah Kok

I am unashamedly a millennial. I engage in many of the behaviours that make my generation distinctly different to the one that came before it. I am highly individualistic, perhaps some would even say narcissistic. I’ve had social media and access to the internet for as long as I can remember. I don’t really recall a time before having a mobile phone. I spent much of my life in education striving to get the qualifications that my parents and teachers had told me I needed. I studied sustainability, and for a while, I dedicated my life to saving the world and volunteering. I am in so many ways a complete cliché.

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Topics: Lending, Financial Inclusion/Social Good, Alternative Credit Scoring, Credit Risk Management

Why Your Credit Score is Crucial

Jan 11, 2019 / by Sarah Kok

Getting credit or a mortgage declined is a big concern for many of us. In fact, most of us will need to use credit at some point in our lives, so it’s a big deal when we are declined. That’s why credit scores are important – to improve our chances of gaining access to credit and enabling us to navigate quickly through life’s twists and turns. 

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Topics: Lending, Credit Scoring, Alternative Credit Scoring

Transforming Lives Through Alternative Credit Scoring

Nov 19, 2018 / by Sarah Kok

For many of the world’s poorest countries, financial inclusion is a big problem. Large numbers of people have trouble just getting a bank account, let alone access to credit – particularly in countries like Colombia, Ukraine and Vietnam, just to name a few. 

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Topics: Digitalisation, Financial Inclusion/Social Good, Alternative Credit Scoring

The Benefits of Democratising Data

Sep 20, 2018 / by Sarah Kok

Just a few years ago, only a few people in the financial industry had access to an individual’s banking data. Data was ‘owned’ by a few major players such as large financial institutions, and all access had to go through these information gatekeepers. Limited sharing of data has resulted in a stagnated offering of banking products to customers that have not significantly changed in decades: people are paying too much for their overdrafts or money sits in current accounts earning little, or sometimes even no interest. To summarise, customers are not happy.

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Topics: Compliance (GDPR, PSD2), Credit Scoring

5 Ways Alternative Credit Scoring Aids Financial Inclusion

Sep 10, 2018 / by Sarah Kok

To eliminate extreme poverty, many leading global organisations have made financial inclusion a top priority. Business leaders and policymakers have dedicated themselves to improving the quality of life for the world’s poorest, and they believe economic and social progress starts with an inclusive financial system that meets the needs for all income levels.

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Topics: Lending, Credit Scoring, AI/ML