ONLINE & CONVENIENT OPPORTUNITIES TO HEAR FROM LEADING EXPERTS IN THE FIELD OF DATA SCIENCE AND ARTIFICAL INTELLIGENCE.
will boost your expertise in the latest trends in the industry and share insights into the FDP Charter.
If there is a topic you would like to learn more about, a guest speaker you recommend, contact us at email@example.com
Date: January 27, 2022
8am PST | 11am EST | 4pm GMT | 5pm CET | 9.30pm IST
Map out your learning journey to obtain the FDP Charter. FDP managing Director Keith Black shares the value add of the FDP Charter, the updated curriculum, hiring trends, and how you can leverage your FDP learnings as you advance your career.
The FDP team answered questions about the FDP program, where to obtain your curriculum, and our testing options.
Date: February 10, 2022
Join Dan Joldzic, CEO of Alexandria Technology and Keith Black, PhD, CFA, CAIA, FDP for part II (!) as they discuss how machines are interfacing with humans to effect manager selection and private asset secondary sales.
This webinar features members of the FDP Curriculum Team as well as Candidate Relations. The following topics are discussed: Curriculum materials, exam format, and available resources. For each topic we discussed the required readings, keywords, learning objectives and sample questions.
Date: January 12, 2022
Learn more about the curriculum and the roadmap to prepare for the upcoming FDP exam.
The Financial Data Professional Institute (FDPI) has designed a self-study program to provide financial professionals with an efficient path to learn the essential aspects of financial data science. The Financial Data Professional (FDP) is a global designation for investment professionals with data science skills.slide deck
Date: December 9, 2021
Join Dan Joldzic, CFA, FRM, CEO & Quantitative Research, from Alexandria Technology for a discussion of natural language processing (NLP). #NLP techniques can be used to analyze a variety of data sources, including news reports, company regulatory filings and earnings calls, as well as posts on social media sites such as Reddit. The output from these models can be used for stock selection with varying time horizons and degrees of alpha capture. This data can also be used to analyze sentiment regarding the ESG footprint of both public and private companies.
Date: November 2021
Join Lydia Ofori, CFA, CAIA, Adam Duncan, and Keith Black, PhD, CFA, CAIA, FDP as they discuss how machines are interfacing with humans to effect manager selection and private asset secondary sales.
Cryptocurrencies and Digital Assets - Market Structure, Risks, and Opportunities
In this presentation, Keith Black will discuss the digital asset and cryptocurrency markets and the innovative solution to build a global, decentralized, and secure network that facilitates payments and other transactions. Keith will explore how proof-of-work, such as Bitcoin mining, and proof-of-stake protocols, such as Binance, are used to secure networks and complete transactions. Behind many of these currencies are real businesses, such as projects built on top of Ethereum smart contracts that facilitate borrowing and lending as well as options and futures trading. Stable coins pegged to USD or EUR can earn yields of up to 7% with minimal volatility. Returns and volatility data will be presented, as well as evidence on how digital assets can add return to a diversified portfolio without adding to portfolio volatility. Risks of digital assets will also be discussed, including regulatory risks, technology risk, and valuation risk.
Slide deck coming soon
Recording coming soon
Introducing a New Hedge Fund Dataset
Date: May 6, 2021
Description: How to use a hedge fund database, based on open-sourced hedge fund return and how to gain access to the data and a slew of interesting examples. How do you efficiently clean and manage semi-structured data? Alex and Linus will demonstrate with examples based on factor analysis, correlations, and dispersions and explain why they probably should have picked a different programming language.
Panelists: Linus Nilsson, Founder NilssonHedge; Alex Lostado, Quant Analyst, NilssonHedge; and Brandon Kremer CFA, CAIA, CIPM, FDP, Portfolio Manager Heximer Investment Management
Slidedeck + Research Project
Create your free FDP profile number here
Alternative Data and Collective Intelligence Investing: Risks of Adoption
Description: Over the last five years, the volume of information available to all has skyrocketed, leading to increased investor interest in alternative data or crowdsourced investment strategies. While opportunities for added value may be present, adoption also comes with a number of risks, both for early and late adopters. Join this conversation as readings from the 2021 Financial Data Professional (FDP) curriculum are brought to life.
Evolution of ML in Investment Strategies
"The Evolution of Machine Learning (ML) in Investment Strategies" is an insider’s look into the opaque world of AI/ML-powered investing strategies. Learn how leading-edge asset managers are deploying machine learner algorithms and alternative investment data (Alt-Data) to monetize differentiated sources of potential alpha.