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محتوای ارائه شده توسط Tobias Macey. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Tobias Macey یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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An Exploration Of Financial Exchange Risk Management Strategies

34:30
 
اشتراک گذاری
 

Manage episode 316884507 series 2970443
محتوای ارائه شده توسط Tobias Macey. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Tobias Macey یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Summary

The world of finance has driven the development of many sophisticated techniques for data analysis. In this episode Paul Stafford shares his experiences working in the realm of risk management for financial exchanges. He discusses the types of risk that are involved, the statistical methods that he has found most useful for identifying strategies to mitigate that risk, and the software libraries that have helped him most in his work.

Announcements

  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show!
  • Your host as usual is Tobias Macey and today I’m interviewing Paul Stafford about building risk models to guard against financial exchange rate volatility

Interview

  • Introductions
  • How did you get introduced to Python?
  • What are the principles involved in risk management, and how are statistical methods used?
  • How did you get involved in financial markets?
    • In what ways did your background in science and engineering prepare you for work in finance and risk management?
  • What are the tools that you have found most useful in your career in finance?
  • How have recent trends such as the widespread adoption of deep learning impacted the capabilities and risks present in foreign exchange strategies?
  • What are the challenges that you face in obtaining and validating the input data that you are relying on for building financial and statistical models?
    • How has the volatility of the pandemic impacted the robustness and resilience of your predictive capabilities?
  • What are the areas where the available tools are typically insufficient?
  • What are the most interesting, innovative, or unexpected strategies or techniques that you have seen applied to risk management?
  • What are the most interesting, unexpected, or challenging lessons that you have learned while working in risk management?
  • What are the economic and industry trends that you are keeping a close eye on for your work at Deaglo and your own personal projects?

Keep In Touch

Picks

  • Tobias
  • Paul
    • Motorcycle Trip of the Grand Canyon

Links

The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

  continue reading

389 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 316884507 series 2970443
محتوای ارائه شده توسط Tobias Macey. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Tobias Macey یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Summary

The world of finance has driven the development of many sophisticated techniques for data analysis. In this episode Paul Stafford shares his experiences working in the realm of risk management for financial exchanges. He discusses the types of risk that are involved, the statistical methods that he has found most useful for identifying strategies to mitigate that risk, and the software libraries that have helped him most in his work.

Announcements

  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show!
  • Your host as usual is Tobias Macey and today I’m interviewing Paul Stafford about building risk models to guard against financial exchange rate volatility

Interview

  • Introductions
  • How did you get introduced to Python?
  • What are the principles involved in risk management, and how are statistical methods used?
  • How did you get involved in financial markets?
    • In what ways did your background in science and engineering prepare you for work in finance and risk management?
  • What are the tools that you have found most useful in your career in finance?
  • How have recent trends such as the widespread adoption of deep learning impacted the capabilities and risks present in foreign exchange strategies?
  • What are the challenges that you face in obtaining and validating the input data that you are relying on for building financial and statistical models?
    • How has the volatility of the pandemic impacted the robustness and resilience of your predictive capabilities?
  • What are the areas where the available tools are typically insufficient?
  • What are the most interesting, innovative, or unexpected strategies or techniques that you have seen applied to risk management?
  • What are the most interesting, unexpected, or challenging lessons that you have learned while working in risk management?
  • What are the economic and industry trends that you are keeping a close eye on for your work at Deaglo and your own personal projects?

Keep In Touch

Picks

  • Tobias
  • Paul
    • Motorcycle Trip of the Grand Canyon

Links

The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

  continue reading

389 قسمت

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