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Hello World, I’m Ned.
Quant Risk Analyst

I am a senior quantitative risk analyst and soon-to-be PhD graduate in marketing analytics. Welcome to my personal website, where I share ideas and projects that go beyond my academic papers (including some that are still in progress). Think of it as a place to discover my professional journey and the approaches, tools, and frameworks I’ve built along the way. If something here sparks your curiosity or you’d like to connect, feel free to reach out!

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My Professional Journey

If there’s one thing I’ve learned over the years, it’s that some stories are easier to show than tell. That is why I made this Venn diagram. It sums up how different parts of my journey have come together.

Before starting my PhD, I worked on projects with government agencies, where I learned how data, policy, and decision-making intersect. That experience taught me the importance of impact communication, how to translate numbers into stories that actually drive action.

Then came my PhD journey, which took me deep into retail pricing, omnichannel behavior, and platform engagement. It sharpened how I think about context, behavior, and timing, and it taught me to turn complex findings into frameworks that make sense. I also got better at insight translation: making technical results digestible for non-technical audiences. Whether it’s a dashboard, a short briefing, or an executive summary.

Now, at my current role, everything comes together. I develop monitoring frameworks and keep models in check and make sure our analytics stay reliable and scalable. It’s where I bring together analytical rigor, research thinking, and clear communication to ensure the models we trust actually drive better decisions.

About Me
May 2024 – Present
Nordea
Models Monitoring and Performance, bridging technical rigor with business+regulatory contexts to deliver meaningful recommendations
Aug 2019 – June 2025
Stockholm School of Economics
Evaluating retail marketing mix effect (click the link for thesis draft) and teaching data analytics
Aug 2014 –Aug 2018
Fiscal Policy Office, Ministry of Finance
Proposed new optimal tax policies via data-driven approach

Experience

I am (by training) an economist, a quantitative risk analyst, a strategist, a policy maker, a researcher and a marketer who can code/program (in R, Python, SAS and Spark) and run advance statistical analyses using data analytics techniques. In my current role, I am responsible for (credit risk) model monitoring and developing a testing framework, specifically for Loss Given Default (LGD: IRB & IFRS-9), Probability of Default (PD: IRB), Expected Credit Loss (ECL: IFRS9) and concentration risk models.

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Empirical Research in Marketing

The Long-Term Effects of Online Channel Adoption in Grocery Retailing

How Does Long-Term Adoption of Online Grocery Channels Affect Customers' Purchasing Behaviors? Insights from Nordic Grocery Data.

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The Long-Term Effects of Online Channel Adoption in Grocery Retailing
When Do Discounts Matter? Potential Drivers of Discounts Elasticities Across Brands, Categories and Store Formats

When Do Discounts Matter? Potential Drivers of Discounts Elasticities Across Brands, Categories and Store Formats

What Influences the Power of a Discount in Retail? Unveiling Hidden Factors with Nordic Grocery Data Across Hypermarkets, Supermarkets, and Convenience Stores.

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Navigating Asymmetry: Insights from Aggregate and Choice Models on the Influence of Regular Prices and Discounts

How Do Regular Prices and Discounts Uniquely Influence Retail Sales? Exploring Asymmetric Effects Across Store Formats with Insightful Nordic Grocery Data.

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Navigating Asymmetry: Insights from Aggregate and Choice Models on the Influence of Regular Prices and Discounts
Do The Winners Take It All? How Covid-19 Affected Playlist Followers on Spotify

Do The Winners Take It All? How Covid-19 Affected Playlist Followers on Spotify

Who Gained the Most Playlist Followers During the Pandemic? Exploring the Surge in Spotify Playlist Popularity Amidst COVID-19.

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Education

2019-2024
Stockholm School of Economics, Sweden
PhD in Business Administration, Marketing Analytics
2015-2016
Cornell University, USA
Master in Applied Behavioral Economics (Behavioral Finance Focus)
2012-2017
Thammasat University, Thailand
Bachelor of Economics