---
title: Videos
url: https://www.ml-quant.com/library/video/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
---


# Videos

Talks, lectures and tutorials.

- [Basel 3.1 Webcast](https://www.youtube.com/watch?v=dHiDlug0uEQ) (2024-06-05): The BTRM webcast discusses the effects of Basel 3.1 on bank capital planning and management, and how to adapt efficiently.
- [Power of Understanding in Job Market](https://www.youtube.com/watch?v=hmDP5Syk3lY) (2024-06-05): Peter Carr stresses the need for a quantitative understanding of finance.
- [Meet Alok from Jane Street Research](https://www.youtube.com/watch?v=omSkGsippV4) (2024-06-05): Alok from Jane Street's Research team shares his positive experience of the company's collaborative culture in their New York office.
- [Finance Job Offers Resume Tips](https://www.youtube.com/watch?v=7rIB5A-14sU) (2024-06-05): The article highlights a trend in companies preferring to hire specialists rather than generalists.
- [Cherishing Parenthood Stages](https://www.youtube.com/watch?v=7kSkLduhaRA) (2024-06-05): The article underscores the importance of cherishing every moment with children, as they grow up quickly.
- [CS to Quant Finance](https://www.youtube.com/watch?v=h1VJ00Og3DA) (2024-05-28): The video outlines the three key sectors of quantitative finance - trading, portfolio management, and risk management - and the necessary skills for each role for computer science graduates.
- [Journal of Finance Webinar](https://www.youtube.com/watch?v=tpUKYzkkvtU) (2024-05-28): The Journal of Finance held a webinar showcasing the presentation and discussion of the 2023 First Prize Brattle Group Prize-winning research paper on the topic of Specialization in Bank Lending.
- [Resume Tips for Quant Finance Jobs](https://www.youtube.com/watch?v=A_4H07umXcc) (2024-05-22): The quantitative finance job market is tough, with subpar resumes hindering applicants' success rates.
- [Costs of Starting a Hedge Fund](https://www.youtube.com/watch?v=AI3UKLLU9a8) (2024-05-22): Establishing a hedge fund and recruiting employees entails substantial expenses.
- [Project Astra AI Demo](https://www.youtube.com/watch?v=VYsK-_NksEY) (2024-05-22): Project Astra, an AI assistant prototype, can instantly solve mathematical problems and rectify graphs.
- [Market Participants vs Government Regulations](https://www.youtube.com/watch?v=IEr31FBJXmc) (2024-05-22): Government interference can potentially cause more damage than free market players due to its authority.
- [Reliability of Program Rankings](https://www.youtube.com/watch?v=3YKtbDy_pRI) (2024-05-22): A significant number of students are dissatisfied with the existing ranking system for educational courses.
- [Modeling a Twosided Limit Order Book](https://www.youtube.com/watch?v=4JyQ1xYkfb0) (2024-05-15): Joshua Reed gave a lecture on high frequency regime at the Peter Carr Brooklyn Quant Experience BQE Lecture Series, hosted by NYU Tandon's Department of Finance and Risk Engineering.
- [Smile Dynamics in Volatility Models](https://www.youtube.com/watch?v=nN7V8Myxj3o) (2024-05-15): Florian Bourgey discussed smile dynamics in rough volatility models at the Peter Carr Brooklyn Quant Experience BQE Lecture Series, an event organized by NYU Tandon's Department of Finance and Risk Engineering.
- [Math and Stats in Trading](https://www.youtube.com/watch?v=RXZqZIBVg8A) (2024-05-15): Quants and traders differ in their skills and thinking speeds, with quants being more methodical and slower.
- [DFW Quaint Quant Conference](https://www.youtube.com/watch?v=0XvVyIPm4Lw) (2024-05-15): The first DFW Quaint Quant Conference is being held, providing a platform for quants to present and discuss industry research and methods.
- [Talent Acquisition in Finance Industry](https://www.youtube.com/watch?v=vob_y9HZu-M) (2024-05-15): Success in the quant space is driven by personal interest in research and companies allocating time for it.
- [Quants in Finance](https://www.youtube.com/watch?v=Fgg6kzHDwww) (2024-05-08): The author revisits a 2017 video about job types in quantitative finance, suggesting a more specific title would have been beneficial.
- [Datadriven Finance Webinar](https://www.youtube.com/watch?v=7a3A2NLQipA) (2024-05-08): Will Cong presented a data-driven approach to corporate finance and AI-guided decisions at an ABFR seminar.
- [AI in Finance Recording](https://www.youtube.com/watch?v=n4OZgoMVAnI) (2024-05-08): A raw screen recording from the Workshop on AI in Finance at Texas State University San Marcos is accessible on GitHub.
- [Path in Finance at MIT](https://www.youtube.com/watch?v=zgQjtQZ6Si0) (2024-05-08): The article explores Christina Qi's journey towards choosing a career in finance.
- [Risk Management Tips](https://www.youtube.com/watch?v=hbO0BkLmtQU) (2024-05-08): The article recommends candidates to be ready to discuss their projects and experiences in depth during interviews.
- [Quant Research vs Model Development](https://www.youtube.com/watch?v=YxyqWJLQo4M) (2024-05-01): The article highlights the nuanced differences between quantitative research and model development, noting that these tasks are typically carried out by quants, not to be mistaken for quant devs.
- [The Hidden World of Data Engineering](https://www.youtube.com/watch?v=Lr7-AQUz5F8) (2024-05-01): The article delves into the significant workload associated with data management and transfer.
- [Algorithmic Trading Info Session](https://www.youtube.com/watch?v=wIoQ5YW7ZEg) (2024-04-24): The course provides comprehensive knowledge on algorithmic trading through theoretical concepts and practical projects.
- [Future Prediction Model Building](https://www.youtube.com/watch?v=qip-yw-Q-68) (2024-04-24): The quantitative finance community criticizes utility functions for their inaccuracy and limited usefulness.
- [Declining Academia Offer](https://www.youtube.com/watch?v=oRzCYICdpRI) (2024-04-24): The author rejected a position as Executive Director of a quantitative finance program due to various personal and professional reasons.
- [Finance LLMs Info Session](https://www.youtube.com/watch?v=7ess86uN37w) (2024-04-24): The Large Language Models in Finance Certificate course offers in-depth understanding of LLMs application in finance, including practical use and recent developments.
- [NYC Residential Building Emissions Decoded](https://www.youtube.com/watch?v=PcVd9XQJfNs) (2024-04-24): The Two Sigma Data Clinic talk highlights the impact of building operations on NYC's GHG emissions and the city's regulatory efforts using public data and efficiency strategies.
- [Generating Correlation Matrices](https://www.youtube.com/watch?v=cFfj-mlwPrU) (2024-03-20): The video on YouTube explains the Onion Method, a technique used to create random correlation matrices for statistical analysis.
- [Python AI Finance](https://www.youtube.com/watch?v=cw546raNA7A) (2024-03-20): Python Quants GmbH is hosting an information session about their Certificate in Python for Finance program.
- [Maximizing Internship](https://www.youtube.com/watch?v=k5MjdI4Quo8) (2024-03-20): A video offers tips on maximizing internships in the quant field, highlighting the significance of networking and diligence.
- [Maximum Ignorance](https://www.youtube.com/watch?v=lnaxM4nWWBM) (2024-03-20): A blog post explores the difficulty of estimating probabilities in scenarios with no previous data, using a surgeon's failure rate as an example.
- [Quant Finance](https://www.youtube.com/watch?v=vY3JQqnXe7g) (2024-02-21): Quants are predicted to drive growth in quantitative finance, particularly in the areas of machine learning, AI, and updating models to reflect changes in human behavior and finance.
- [OCaml Efficiency](https://www.youtube.com/watch?v=AGu4AO5zO8o) (2024-02-21): The fifth video in the OCaml series shows how locals can minimize garbage-collected allocations, providing viewers with step-by-step instructions and code.
- [Business Schools vs Banks](https://www.youtube.com/watch?v=oEKb3Nr6zDY) (2024-02-21): A gap exists between banks and academia, with banks often uninformed about academic advancements, leading to surprise among academics and students.
- [Risk Comp](https://www.youtube.com/watch?v=VuP7nx_d5_Y) (2024-02-07): The 2022 Selby Jennings risk report offers a detailed look at the salary and career growth of banking quants in different financial hubs.
- [Finance Quants](https://www.youtube.com/watch?v=3soVbJpRmgA) (2024-02-07): The split of financial engineering from finance has increased job prospects, however, financial engineers are not highly favored in business schools.
- [CQF Cert](https://www.youtube.com/watch?v=c5c3HQPhH_I) (2024-02-07): The article provides information about the CQF certification in the field of quantitative finance.
- [Success in Quant Finance](https://www.youtube.com/watch?v=PbUI9GRMgfE) (2024-02-07): The Corporate Chat McGill Podcast, available on all major podcast platforms, includes an in-depth interview.
- [AIFI Winter Bootcamp 2024: AI Models in Finance -> AI Models in Finance Bootcamp 2024](https://www.youtube.com/watch?v=IUbv1xYv_Bg) (2024-01-23): AI Models in Finance -> AI Models in Finance Bootcamp 2024: The bootcamp provides training on using Artificial Intelligence in finance, including theory, practical application, and AI python code.
- [Family Offices: The Downfall of Quant Careers -> Quant Careers: The Downfall of Family Offices](https://www.youtube.com/watch?v=UNjkptzW_Ho) (2024-01-23): The Downfall of Quant Careers -> Quant Careers: The Downfall of Family Offices: The article explores the advantages and disadvantages of working for a small firm, specifically a family office.
- [RAW Workshop on AI in Finance 4: Screen Recording -> AI in Finance 4 Workshop: Screen Recording](https://www.youtube.com/watch?v=nDLzXVKLZPY) (2024-01-23): Screen Recording -> AI in Finance 4 Workshop: Screen Recording: The article is a raw, unedited recording from an AI in Finance workshop at Texas State University San Marcos.
- [Annotating OCaml Variables and Returns: Locals with local -> OCaml Variables and Returns: Annotating Locals](https://www.youtube.com/watch?v=bTjJQT-SzgQ) (2024-01-23): Locals with local -> OCaml Variables and Returns: Annotating Locals: The second video in a series on OCamls locals teaches how to annotate variables and return types with local.
- [Mastering Python Finance](https://www.youtube.com/watch?v=qkKAJwg4ohQ) (2024-01-17): The Certificate in Python for Finance Program provides in-depth knowledge on financial data science, asset management, algorithmic trading, and computational finance using Python and AI.
- [AI and Finance Future](https://www.youtube.com/watch?v=T-AyBUMcWeg) (2024-01-17): The AFA Panel on AI discusses the influence of AI on the financial sector with panelists from various universities.
- [RAW AI in Finance Workshop 3](https://www.youtube.com/watch?v=5w99hUczjyY) (2024-01-17): A screen recording from the Workshop on AI in Finance at Texas State University San Marcos is accessible on GitHub.
- [AFA Business Meeting & Awards](https://www.youtube.com/watch?v=BYZntg0228I) (2024-01-17): The AFA Business Meeting and Presidential Address involves discussions on the future of finance from professionals and academics.
- [Portfolio Optimization Secrets Revealed](https://www.youtube.com/watch?v=VMFN-1zPnsk) (2024-01-03): The YouTube Short educates on portfolio management, systematic trading, and optimization techniques used by junior managers in multistrategy hedge funds.
- [Harnessing Information Coefficient in Quant Trading](https://www.youtube.com/watch?v=f0al9173xno) (2024-01-03): HKML EduTech's video introduces Information Coefficient in quantitative trading, demonstrating Python code to calculate forward returns and measure the IC.
- [Mastering Portfolio Turnover Analysis for Success](https://www.youtube.com/watch?v=Ds1kU-rPRL8) (2024-01-03): The YouTube Short explains the impact of portfolio turnover on trading costs and strategy effectiveness, and how to utilize turnover insights to enhance trading strategies.
- [From Academia to Quant Finance: 5 Key Questions Answered](https://www.youtube.com/watch?v=RXnG6_mnDhM) (2024-01-03): 5 Key Questions Answered: The video offers guidance on transitioning from academia to quant finance, including tips on resume building, firm research, self-promotion, and choosing between buy-side and sell-side roles.
- [Proper Back Testing: Avoiding Model Failure](https://www.youtube.com/watch?v=s-JtMjnKsec) (2024-01-03): Avoiding Model Failure: The article cautions against using Out-of-Sample testing over Out-of-Time testing in financial modeling, highlighting the risk of information leakage and model failure.
- [Decision Tree Number Space Analysis](https://www.youtube.com/watch?v=S1Yyn9Vs5Tk) (2023-12-13): The article highlights the significance of data density, range, and domain in creating decision tree models, warning about the risk of overfitting.
- [Money's Role in Quant Finance](https://www.youtube.com/watch?v=P4_iexMuhKg) (2023-12-13): The article criticizes students who cite a love for money as their motivation for excelling in quantitative finance, advocating for a deeper understanding of economics.
- [ChatGPT4's Stock Price Forecasting Potential](https://www.youtube.com/watch?v=IiAiTxlCZrM) (2023-12-13): The article explores the potential of ChatGPT4 in predicting stock market trends, comparing it with older models and showcasing live sentiment analysis.
- [Number Space Considerations in Decision Tree Models](https://www.youtube.com/watch?v=TM_gSy4rZ2g) (2023-12-13): The article underscores the need to consider number space in model development, especially decision trees, and the difficulty in assessing the suitability of sample data.
- [Rene Aid's Lecture at Peter Carr BQE Series](https://www.youtube.com/watch?v=aWUdci7T-Ig) (2023-12-13): The article refers to a lecture given by Economics Professor Rene Aid at the Peter Carr BQE Lecture Series from Paris-Dauphine University.
- [Language to SQL Generator with LLM](https://www.youtube.com/watch?v=XAGA5A4wR20) (2023-12-06): Rami Krispin explains how LLM models can be used to convert language into code, specifically developing a language to SQL translator via the OpenAI API.
- [Yield Farming: Costs, Returns, and Risks](https://www.youtube.com/watch?v=k67wtyWWfx8) (2023-12-06): Costs, Returns, and Risks: The article debates the concept of a 'full stack quant' in quantitative finance, arguing that while such professionals exist, they typically specialize in a particular area rather than mastering all aspects.
- [Covariance Matrix and Shrinkage](https://eranraviv.com/statistical-shrinkage-4-covariance-estimation/) (2023-12-06): The article explores the problems of unstable covariance matrix in contemporary statistics and suggests a practical solution through statistical shrinkage.
- [Spread Options Calibration](https://www.youtube.com/watch?v=hoJcpI_cknw) (2023-11-29): Prof. Matthew Dixon spoke about calibrating spread options using a seasonal commodity forward model at the first Thalesian Talk.
- [Yield Farming Analysis](https://www.youtube.com/watch?v=gpUboY0au_E) (2023-11-29): Dr. Thomas Li presented a mathematical model to analyze the economic dynamics of yield farming using onchain data from decentralized exchanges.
- [Generative AI Potential](https://www.youtube.com/watch?v=LlWDx0LSDok) (2023-11-29): DeepMind is exploring how machine learning and generative AI can speed up software development and drive major transformations.
- [Foreign Exchange Introduction](https://www.youtube.com/watch?v=sbFUxYuaxnE) (2023-11-29): Saeed Amen discussed the role of foreign exchange as an asset class and the future of alternative data and machine learning in finance at the second Thalesian talk.
- [Decision Tree: Splitting and Predictions](https://www.youtube.com/watch?v=nktWfI-F6wo) (2023-11-29): Splitting and Predictions: The video explains the process of decision trees in making predictions, emphasizing the need for a computer due to the high volume of calculations.
- [Cryptos: Are They Different? Evidence from Retail Trading](https://www.youtube.com/watch?v=XfIpW2UlKXg) (2023-11-15): Are They Different? Evidence from Retail Trading: The ABFR forum, a group of scholars studying AI and big data's impact on society, plans monthly discussions on economics and finance, with the next one on October 26, 2023.
- [Workshop on AI in Finance: Raw & Unedited Recording](https://www.youtube.com/watch?v=-vm8GPmWT14) (2023-11-15): Raw & Unedited Recording: A raw screen recording from the Workshop on AI in Finance at Texas State University San Marcos on October 27, 2023, is accessible on GitHub.
- [Discovering Supply Chain Edges with Graph Neural Networks](https://www.youtube.com/watch?v=PtzCJvdWdJc) (2023-11-02): Achintya Gopal from Bloomberg uses graph neural networks to predict unknown suppliers and customers, improving supply chain risk analysis.
- [Where Did All the Quants Go?](https://www.youtube.com/watch?v=trVhkfwfzPg) (2023-11-02): A LinkedIn comment criticizes quant programs for lacking intuition and rigor, stressing the need for continuous learning and understanding of financial market logic and mathematics.
- [Bayesian Inference on Probabilistic Surveys](https://www.youtube.com/watch?v=5rQqhkLd34I) (2023-10-18): The University of Chicago Booth School of Business held a discussion on probabilistic surveys and inflation risk market, with speakers from different universities and financial institutions.
- [Overcoming Mental Blocks in Quantitative Finance](https://www.youtube.com/watch?v=iPdGzROVpaQ) (2023-10-18): The article offers methods to tackle complex quantitative finance issues, such as taking breaks, online research, peer consultation, and textbook study.
- [Vanguard: ML Augmented Taylor Rule](https://www.youtube.com/watch?v=oB-KSIzsciw) (2023-10-04): ML Augmented Taylor Rule: A new model for predicting the Federal funds rate has been developed, significantly outperforming the traditional Taylor rule model and offering potential applications in asset pricing and investing.
- [ABFR Webinar: Sendhil Mullainathan and Sharad Goel](https://www.youtube.com/watch?v=3WxHVJX3K9Y) (2023-10-04): Sendhil Mullainathan and Sharad Goel: The ABFR Webinar, discussing AI and big data's role in economics and finance, is set to take place on September 28, 2023.
- [Two Sigma Interns' Experience](https://www.youtube.com/watch?v=xYqn7N1_xPs) (2023-10-04): Two Sigma is offering internships to PhD students, giving them practical experience and insight into a career in quantitative research.
- [Companies' Layoffs: How and Why](https://www.youtube.com/watch?v=NLYIEyryCJQ) (2023-10-04): How and Why: Despite layoffs, companies continue to recruit as they adapt to market changes, cutting costs in some sectors while expanding others.
- [Creating Private PDF ChatBot](https://www.youtube.com/watch?v=hSQY4N1u3v0) (2023-07-19): The tutorial video teaches how to create a private PDF chatbot using falcon7b and falcon40b models, without the need for abstract libraries.
- [Deploying Private & Fast LLM Chatbots](https://www.youtube.com/watch?v=o1BCq1KJULM) (2023-07-19): The tutorial video guides on how to deploy and operate large language model chatbots locally using textgenerationinference and chatui, suitable for a production environment.
- [Reinforcement Learning for Portfolios](https://www.youtube.com/watch?v=xPUDyaPggNQ) (2023-07-12): The Hudson and Thames Reading Group explored the potential of Deep Reinforcement Learning (DRL) to transform financial decision-making by viewing portfolio allocation as a continuous control optimization issue.
- [Time Series Learning Books](https://www.youtube.com/watch?v=vksFF3QrrSc) (2023-07-12): The author suggests a sequence of books for beginners studying time series, highlighting the need to begin with basic principles.
- [Train LLMs in 50 Lines](https://www.youtube.com/watch?v=JNMVulH7fCo) (2023-07-12): The author provides a guide on how to train or fine-tune a Language Model (LLM) with minimal or no code, using various libraries and autotrainadvanced.
- [QDC Info Session July 2023](https://www.youtube.com/watch?v=qKmxAtviGtY) (2023-07-05): The QDC is a professional certificate for quantitative finance.
- [MLI Info Session June 2023](https://www.youtube.com/watch?v=ot0lWt-8AxE) (2023-07-05): The MLI program enhances knowledge and careers in machine learning.
- [American Students in Quant Finance](https://www.youtube.com/watch?v=E8cRKqN8n3c) (2023-06-28): Highlights the importance of increasing American students in quant finance and offers insights on effective strategies to attract top talent globally.
- [Math and Quant Finance](https://www.youtube.com/watch?v=EoOxyeqDmM0) (2023-06-14): Math students lack knowledge of quantitative finance due to job market and conflicts.
- [ML for High Risk Applications](https://www.youtube.com/watch?v=Kr2-S9xi2sk) (2023-06-07): Guest lecture on machine learning for high risk applications covers governance, explainable models, model validation, bias management, and security.
- [Stony Brook Quant Finance Masters](https://www.youtube.com/watch?v=8464ezZWJrE) (2023-06-07): Stony Brook's quantitative finance program is rigorous but could improve with dedicated career development resources.
- [Movie Genre Prediction with DL](https://www.youtube.com/watch?v=-E5SCudOe2g) (2023-06-07): Video promotes book Approaching Almost Any Machine Learning Problem and encourages following creator on social media.
- [Approaching Any ML Problem](https://www.youtube.com/watch?v=Ycbi4uXJq4k) (2023-06-07): No summary provided for promotional video.
- [Ergodic Exploration Finance](https://www.youtube.com/watch?v=9pOdS3rujk0) (2023-06-01): Video on ergodic theory for accurate timeseries models.
- [ChatGPT Quant Finance](https://www.youtube.com/watch?v=UqFXHlD0hGg) (2023-06-01): Discussion of ChatGPT and Bard in finance.
- [Credit Cards: Pros and Cons](https://www.youtube.com/watch?v=EUeNFqfYdLs) (2023-05-24): Pros and Cons: Credit cards can be good or bad.
- [Eliot from Jane Street Trading](https://www.youtube.com/watch?v=wfdk6n8LE6c) (2023-05-24): Introduction to Eliot from Jane Street NY.
- [Nicole from Jane Street Trading](https://www.youtube.com/watch?v=fqUEDAVuS8E) (2023-05-24): Introduction to Nicole from Jane Street London.
- [Rachel from Jane Street Trading Desk](https://www.youtube.com/watch?v=_2T5FijrIE0) (2023-05-24): Introduction to Rachel from Jane Street London.
- [Ian from Jane Street Software Engineering](https://www.youtube.com/watch?v=x4m9lti4a_A) (2023-05-24): Introduction to Ian from Jane Street London.