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Developer Webinar Series 2020
Join Refinitiv in our Developer Webinar Series 2020, a series of webinars designed to educate, inform and update the developer community.

This series has now been completed. If you would like to listen to any of the webinars on-demand please be sure to click the 'on-demand' button.

Access On-Demand

1. Webinar - How to Build Content-Rich, Interactive Financial Apps with Speed and Simplicity?

If you need real-time data in your applications, access has never been easier. Use your real-time data and improve your existing application workflow. Create fully interactive apps with ease - using modern app frameworks to do the heavy lifting. Less code. Less hassle. Faster time to delivery. 

Listen on-demand where we will show you how to inject real-time pricing & news into your financial applications. We will look at streaming content across multiple environments, using modern app creation frameworks - Dash/Widgets/Panel(Python),Angular (JavaScript). 

Speakers:
Umer Nalla: Platform Application Developer at Refinitiv
Umer has worked in API consultancy and development with Refinitiv/Thomson Reuters/Reuters for 16 years. Most of that time spent as a consultant helping clients implement their solutions as well as occasionally developing solutions for them. This has included extended periods working closely with tier 1 bank Market Data teams. His primary focus has been real-time streaming data, broadening more recently to include our platform offerings. 

Gurpreet Bal: Platform Application Developer at Refinitiv
Gurpreet has been in development and support with Refinitiv/Thomson Reuters/Reuters for last 19 years. His primary job role has been in professional services with helping clients in their solutions. He has worked with most of our technologies with bulk of his experience in real-time streaming data and in data-platform recently. Well versed in major programming languages and most common systems and web technologies. 


Why you should listen? 
  • Code samples on streaming content across multiple environments 
  • Learn, how to consume real time streams of both news and prices 
  • How to implement modern app creation frameworks 
  • Dash Apps, ipywidgets, Panel, JS News & Quote apps 

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2. Webinar - Deployment of Machine Learning Pipeline with SageMaker and Step Functions (AWS) 

As machine learning (ML) becomes a larger part of companies’ core business, there is a greater emphasis on reducing the time from model creation to deployment. Automating the build and deployment of machine learning models is becoming common ask for many organisations worldwide.  

AWS Step Functions allows you to coordinate several AWS services into a serverless workflow. You can design and run workflows in which the output of one step acts as the input to the next step, and embed error handling into the workflow. Amazon SageMaker is a fully managed service that provides developers and data scientists with the tools to build, train, and deploy different types of ML models. 

In this webinar we will demonstrate how to create Machine Learning pipeline that includes training and deployment of Machine Learning model using Python code and make this process repeatable.  

Speaker:
Ievgen Goichuk - Senior Software Engineer at Refinitiv Labs
Ievgen is a technology enthusiast from the past 20 years and is a software engineer with Refinitiv Labs team in London. He is a Computer Science graduate and has been designing and delivering software solutions for numerous clients in Finance, E-Commerce, and Media for over two decades. His expertise includes real-time distributed systems, Cloud engineering, Machine Learning engineering, DLT. 

Laura Sartenaer, Ecosystem Manager at Refinitiv Labs (Moderator)
Laura manages Strategy and Partnerships, EMEA at Refinitiv Labs (formerly Thomson Reuters Financial & Risk). In this role, she assesses market and emerging technology trends to help inform the Labs strategy, as well as initiates and develops key industry relationships with customers, big tech firms, start-ups, governments, trade bodies, universities and research institutes. She is also a Member of the World Economic Forum’s Working Group for AI in Financial Services. Prior to this, Laura spent 2.5 years in the Corporate Strategy and M&A team, where she led the development of the Financial Crime Risk Management strategy and Artificial Intelligence strategy. Before joining Refinitiv in September 2016, Laura spent two years as a European Equities Research Analyst at Third Bridge, a primary research firm in London. 

Why you should attend:
  • Learn how to use AWS Step Functions Data Science Python SDK to define Machine Learning pipeline. 
  • Learn how to deploy Machine Learning pipeline. 
  • Learn how to automate SageMaker jobs with the code. 

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3. Webinar - Quickly Build Zero Curves and Volatility Surfaces from Market Data 

Analytics is increasingly part of the cloud strategy of financial institutions. Refinitiv as a global leader in financial services is supporting that trend by offering in the cloud analytics pre-configured with market data. This makes generating analytics most efficient & cost-effective.

Join this webinar to see how to generate a wide variety of analytics using our new Instrument Pricing and Analytics API. We will cover zero-coupon curve building, volatility surface generation, as well as instrument-level analytics. Finally we’ll show how the API can integrated in workflows.

Speakers:
Umer Nalla: Platform Application Developer at Refinitiv
Umer has worked in API consultancy and development with Refinitiv/Thomson Reuters/Reuters for 16 years. Most of that time spent as a consultant helping clients implement their solutions as well as occasionally developing solutions for them. This has included extended periods working closely with tier 1 bank Market Data teams. His primary focus has been real-time streaming data, broadening more recently to include our platform offerings. 

Samuel Schwalm: Director, Enterprise Pricing Analytics Proposition, Refinitiv
Trained as an engineer in applied mathematics, finance and technology, Samuel has developed an expertise in market data and financial and risk solutions through various roles in that space. He started his career as a quant developing a financial library before joining Reuters where he has held various roles in technology, product management and proposition for its desktop and risk product lines. He now leads the Analytic Platform Pricing Proposition offering Refinitiv analytics as a service and helps customers with their transition to the cloud.


Lamya Mrani: Development Manager, Refinitiv
With over 12 years of experience in financial engineering, Lamya is leading the pricing services analytics development at Refinitiv. Throughout her career, she developed an expertise in a wide panel of financial products and acquired a strong experience is conducting innovation projects. Lamya has an engineering degree in applied mathematics and a certification in business and corporate strategy from HEC Paris. She enjoys reading about the latest trends in neuro-economics.

Why you should attend: 

  • How to access and generate pricing data like curves and surfaces. 
  • How to manipulate financial instruments to compute analytics. 
  • The asset classes and analytics supported by the API. 
  • How to combine this API with other Refinitiv APIs or products  

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4. Webinar - Access Refinitiv APIs with CodeBook: An Integrated Python Scripting Environment
(formerly titled - Quickly and Easily Retrieve Data Using Python & Notebooks)

The market is transforming with a rapid increase in the number of financial coders, who rely on scripting to automate their daily routines. With the global rise in the number of bankers and traders who code using Python, Codebook becomes a key driver for leading conversations around product customization and proprietary workflow design. 

Join the exclusive webinar focused on CodeBook - our new cloud-hosted scripting environment which supports rapid design of bespoke workflows directly in the desktop. Learn more about rapid development of Python models and applications, leveraging cloud compute and the power of Refinitiv data.  

Speakers:
Leonid Sopotnitskiy – Director, Eikon Platform, Emerging & Frontier Markets, Refinitiv
Leonid is responsible for the Eikon platform proposition in Emerging Markets and he manages the Data API offering at Refinitiv. He has a background in financial markets, quantitative analytics as well as product management.  

Simone Da Costa - Solution Consultant, Refinitiv
Simone is part of the Solutions Consultants team helping anyone and everyone interested in learning more about Refinitiv APIs. As a non-developer herself she has spent nearly a decade with Refinitiv and has handled diversified roles ranging from sales, trading and consultation work across all Financial Markets user communities helping her derive insights with Refinitiv content and tools. Relying on creativity, determination and data as the basis for future success stories with developers around the world.

Why you should attend:
  • Automate manual tasks related to Data Transformation 
  • Use Refinitiv Data to feed quantitative models 
  • Get access to Refinitiv APIs in the Desktop product.  

ON-DEMAND
Part 4  - Access Refinitiv APIs with CodeBook: An Integrated Python Scripting Environment

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